Information
# Model Context Protocol servers
This repository is a collection of *reference implementations* for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references
to community built servers and additional resources.
The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Each MCP server is implemented with either the [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) or [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk).
> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
## Reference Servers
These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.
- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
- **[Filesystem](src/filesystem)** - Secure file operations with configurable access controls
- **[Git](src/git)** - Tools to read, search, and manipulate Git repositories
- **[Memory](src/memory)** - Knowledge graph-based persistent memory system
- **[Sequential Thinking](src/sequentialthinking)** - Dynamic and reflective problem-solving through thought sequences
- **[Time](src/time)** - Time and timezone conversion capabilities
### Archived
The following reference servers are now archived and can be found at [servers-archived](https://github.com/modelcontextprotocol/servers-archived).
- **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- **[Brave Search](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/brave-search)** - Web and local search using Brave's Search API
- **[EverArt](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/everart)** - AI image generation using various models
- **[GitHub](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/github)** - Repository management, file operations, and GitHub API integration
- **[GitLab](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/gitlab)** - GitLab API, enabling project management
- **[Google Drive](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/gdrive)** - File access and search capabilities for Google Drive
- **[Google Maps](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/google-maps)** - Location services, directions, and place details
- **[PostgreSQL](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/postgres)** - Read-only database access with schema inspection
- **[Puppeteer](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/puppeteer)** - Browser automation and web scraping
- **[Redis](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/redis)** - Interact with Redis key-value stores
- **[Sentry](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/sentry)** - Retrieving and analyzing issues from Sentry.io
- **[Slack](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/slack)** - Channel management and messaging capabilities
- **[Sqlite](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/sqlite)** - Database interaction and business intelligence capabilities
## Third-Party Servers
### Official Integrations
Official integrations are maintained by companies building production ready MCP servers for their platforms.
- 
**[21st.dev Magic](https://github.com/21st-dev/magic-mcp)** - Create crafted UI components inspired by the best 21st.dev design engineers.
- 
**[Adfin](https://github.com/Adfin-Engineering/mcp-server-adfin)** - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with [Adfin](https://www.adfin.com/).
- 
**[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/).
- 
**[AgentRPC](https://github.com/agentrpc/agentrpc)** - Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/).
- 
**[Aiven](https://github.com/Aiven-Open/mcp-aiven)** - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
- 
**[Alation](https://github.com/Alation/alation-ai-agent-sdk)** - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
- 
**[Algolia MCP](https://github.com/algolia/mcp-node)** Algolia MCP Server exposes a natural language interface to query, inspect, and manage Algolia indices and configs. Useful for monitoring, debugging and optimizing search performance within your agentic workflows. See [demo](https://www.youtube.com/watch?v=UgCOLcDI9Lg).
- 
**[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server)** - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM.
- 
**[Alibaba Cloud AnalyticDB for MySQL](https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server)** - Connect to a [AnalyticDB for MySQL](https://www.alibabacloud.com/en/product/analyticdb-for-mysql) cluster for getting database or table metadata, querying and analyzing data.It will be supported to add the openapi for cluster operation in the future.
- 
**[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server)** - Manage the lifecycle of your Alibaba Cloud resources with [CloudOps Orchestration Service](https://www.alibabacloud.com/en/product/oos) and Alibaba Cloud OpenAPI.
- 
**[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools
- 
**[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
- 
**[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic's API.
- 
**[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents
- 
**[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments using [Arize Phoenix](https://github.com/Arize-ai/phoenix), an open-source AI and LLM observability tool.
- 
**[Asgardeo](https://github.com/asgardeo/asgardeo-mcp-server)** - MCP server to interact with your [Asgardeo](https://wso2.com/asgardeo) organization through LLM tools.
- 
**[Astra DB](https://github.com/datastax/astra-db-mcp)** - Comprehensive tools for managing collections and documents in a [DataStax Astra DB](https://www.datastax.com/products/datastax-astra) NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions.
- 
**[Atlan](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)** - The Atlan Model Context Protocol server allows you to interact with the [Atlan](https://www.atlan.com/) services through multiple tools.
- 
**[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
- 
**[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow.
- 
**[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
- 
**[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.
- 
**[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
- 
**[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names.
- 
**[Bitrise](https://github.com/bitrise-io/bitrise-mcp)** - Chat with your builds, CI, and [more](https://bitrise.io/blog/post/chat-with-your-builds-ci-and-more-introducing-the-bitrise-mcp-server).
- 
**[Box](https://github.com/box-community/mcp-server-box)** - Interact with the Intelligent Content Management platform through Box AI.
- 
**[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
- 
**[BrowserStack](https://github.com/browserstack/mcp-server)** - Access BrowserStack's [Test Platform](https://www.browserstack.com/test-platform) to debug, write and fix tests, do accessibility testing and more.
- 
**[Burp Suite](https://github.com/PortSwigger/mcp-server)** - MCP Server extension allowing AI clients to connect to [Burp Suite](https://portswigger.net)
- 
**[Cartesia](https://github.com/cartesia-ai/cartesia-mcp)** - Connect to the [Cartesia](https://cartesia.ai/) voice platform to perform text-to-speech, voice cloning etc.
- 
**[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
- 
**[Chiki StudIO](https://chiki.studio/galimybes/mcp/)** - Create your own configurable MCP servers purely via configuration (no code), with instructions, prompts, and tools support.
- 
**[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database
- 
**[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents.
- 
**[CircleCI](https://github.com/CircleCI-Public/mcp-server-circleci)** - Enable AI Agents to fix build failures from CircleCI.
- 
**[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server.
- 
**[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- 
**[Codacy](https://github.com/codacy/codacy-mcp-server/)** - Interact with [Codacy](https://www.codacy.com) API to query code quality issues, vulnerabilities, and coverage insights about your code.
- 
**[CodeLogic](https://github.com/CodeLogicIncEngineering/codelogic-mcp-server)** - Interact with [CodeLogic](https://codelogic.com), a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
- 
**[Comet Opik](https://github.com/comet-ml/opik-mcp)** - Query and analyze your [Opik](https://github.com/comet-ml/opik) logs, traces, prompts and all other telemtry data from your LLMs in natural language.
- 
**[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
- 
**[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
- 
**[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters.
- 
**[CRIC Wuye AI](https://github.com/wuye-ai/mcp-server-wuye-ai)** - Interact with capabilities of the CRIC Wuye AI platform, an intelligent assistant specifically for the property management industry.
- 
**[Dart](https://github.com/its-dart/dart-mcp-server)** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool
- 
**[DataHub](https://github.com/acryldata/mcp-server-datahub)** - Search your data assets, traverse data lineage, write SQL queries, and more using [DataHub](https://datahub.com/) metadata.
- 
**[DexPaprika (CoinPaprika)](https://github.com/coinpaprika/dexpaprika-mcp)** - Access real-time DEX data, liquidity pools, token information, and trading analytics across multiple blockchain networks with [DexPaprika](https://dexpaprika.com) by CoinPaprika.
- 
**[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform
- 
**[DevRev](https://github.com/devrev/mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. Sources listed [here](https://devrev.ai/docs/import#available-sources).
- 
**[Dynatrace](https://github.com/dynatrace-oss/dynatrace-mcp)** - Manage and interact with the [Dynatrace Platform ](https://www.dynatrace.com/platform) for real-time observability and monitoring.
- 
**[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev)
- 
**[Edgee](https://github.com/edgee-cloud/mcp-server-edgee)** - Deploy and manage [Edgee](https://www.edgee.cloud) components and projects
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**[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
- 
**[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch)
- 
**[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
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**[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
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**[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
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**[Fibery](https://github.com/Fibery-inc/fibery-mcp-server)** - Perform queries and entity operations in your [Fibery](https://fibery.io) workspace.
- 
**[Financial Datasets](https://github.com/financial-datasets/mcp-server)** - Stock market API made for AI agents
- 
**[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
- 
**[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
- 
**[Github](https://github.com/github/github-mcp-server)** - GitHub's official MCP Server
- 
**[GibsonAI](https://github.com/GibsonAI/mcp)** - AI-Powered Cloud databases: Build, migrate, and deploy database instances with AI
- 
**[Gitea](https://gitea.com/gitea/gitea-mcp)** - Interact with Gitea instances with MCP.
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**[Gitee](https://github.com/oschina/mcp-gitee)** - Gitee API integration, repository, issue, and pull request management, and more.
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**[Glean](https://github.com/gleanwork/mcp-server)** - Enterprise search and chat using Glean's API.
- 
**[Gyazo](https://github.com/nota/gyazo-mcp-server)** - Search, fetch, upload, and interact with Gyazo images, including metadata and OCR data.
- 
**[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox.
- 
**[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
- 
**[Grafbase](https://github.com/grafbase/grafbase/tree/main/crates/mcp)** - Turn your GraphQL API into an efficient MCP server with schema intelligence in a single command.
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**[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
- 
**[GreptimeDB](https://github.com/GreptimeTeam/greptimedb-mcp-server)** - Provides AI assistants with a secure and structured way to explore and analyze data in [GreptimeDB](https://github.com/GreptimeTeam/greptimedb).
- 
**[Heroku](https://github.com/heroku/heroku-mcp-server)** - Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, databases, and more.
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**[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data.
- 
**[Honeycomb](https://github.com/honeycombio/honeycomb-mcp)** Allows [Honeycomb](https://www.honeycomb.io/) Enterprise customers to query and analyze their data, alerts, dashboards, and more; and cross-reference production behavior with the codebase.
- 
**[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data
- 
**[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
- **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source
- 
**[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- 
**[Inbox Zero](https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server)** - AI personal assistant for email [Inbox Zero](https://www.getinboxzero.com)
- 
**[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com)
- 
**[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers.
- 
**[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
- 
**[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
- 
**[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform.
- 
**[Klavis ReportGen](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/report_generation)** - Create professional reports from a simple user query.
- 
**[KWDB](https://github.com/KWDB/kwdb-mcp-server)** - Reading, writing, querying, modifying data, and performing DDL operations with data in your KWDB Database.
- 
**[Lara Translate](https://github.com/translated/lara-mcp)** - MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations.
- 
**[Logfire](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire.
- 
**[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
- 
**[Linear](https://linear.app/docs/mcp)** - Search, create, and update Linear issues, projects, and comments.
- 
**[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
- 
**[Litmus.io](https://github.com/litmusautomation/litmus-mcp-server)** - Official MCP server for configuring [Litmus](https://litmus.io) Edge for Industrial Data Collection, Edge Analytics & Industrial AI.
- 
**[Mailgun](https://github.com/mailgun/mailgun-mcp-server)** - Interact with Mailgun API.
- 
**[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants.
- 
**[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, MySQL, Neo4j, Postgres, Spanner, and more.
- 
**[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
- 
**[Memgraph](https://github.com/memgraph/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
- 
**[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
- 
**[Mercado Pago](https://mcp.mercadopago.com/)** - Mercado Pago's official MCP server.
- 
**[Microsoft Clarity](https://github.com/microsoft/clarity-mcp-server)** - Official MCP Server to get your behavioral analytics data and insights from [Clarity](https://clarity.microsoft.com)
- 
**[Microsoft Dataverse](https://go.microsoft.com/fwlink/?linkid=2320176)** - Chat over your business data using NL - Discover tables, run queries, retrieve data, insert or update records, and execute custom prompts grounded in business knowledge and context.
- 
**[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
- 
**[Momento](https://github.com/momentohq/mcp-momento)** - Momento Cache lets you quickly improve your performance, reduce costs, and handle load at any scale.
- 
**[MongoDB](https://github.com/mongodb-js/mongodb-mcp-server)** - Both MongoDB Community Server and MongoDB Atlas are supported.
- 
**[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
- 
**[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- 
**[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- 
**[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
- 
**[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform.
- 
**[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API.
- 
**[OceanBase](https://github.com/oceanbase/mcp-oceanbase)** - MCP Server for OceanBase database and its tools
- 
**[Octagon](https://github.com/OctagonAI/octagon-mcp-server)** - Deliver real-time investment research with extensive private and public market data.
- 
**[OlaMaps](https://pypi.org/project/ola-maps-mcp-server)** - Official Ola Maps MCP Server for services like geocode, directions, place details and many more.
- 
**[OP.GG](https://github.com/opgginc/opgg-mcp)** - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and character statistics.
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**[OpsLevel](https://github.com/opslevel/opslevel-mcp)** - Official MCP Server for [OpsLevel](https://www.opslevel.com).
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**[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
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**[Paddle](https://github.com/PaddleHQ/paddle-mcp-server)** - Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports.
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**[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come.
- 
**[PayPal](https://mcp.paypal.com)** - PayPal's official MCP server.
- 
**[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI.
- 
**[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment.
- **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base.
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**[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases
- 
**[Pulumi](https://github.com/pulumi/mcp-server)** - Deploy and manage cloud infrastructure using [Pulumi](https://pulumi.com).
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**[Pure.md](https://github.com/puremd/puremd-mcp)** - Reliably access web content in markdown format with [pure.md](https://pure.md) (bot detection avoidance, proxy rotation, and headless JS rendering built in).
- 
**[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
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**[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
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**[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis.
- **[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
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**[Snyk](https://github.com/snyk/snyk-ls/blob/main/mcp_extension/README.md)** - Enhance security posture by embedding [Snyk](https://snyk.io/) vulnerability scanning directly into agentic workflows.
- 
**[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- 
**[Ramp](https://github.com/ramp-public/ramp-mcp)** - Interact with [Ramp](https://ramp.com)'s Developer API to run analysis on your spend and gain insights leveraging LLMs
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
- 
**[Rember](https://github.com/rember/rember-mcp)** - Create spaced repetition flashcards in [Rember](https://rember.com) to remember anything you learn in your chats
- 
**[Riza](https://github.com/riza-io/riza-mcp)** - Arbitrary code execution and tool-use platform for LLMs by [Riza](https://riza.io)
- .png)
**[Root Signals](https://github.com/root-signals/root-signals-mcp)** - Improve and quality control your outputs with evaluations using LLM-as-Judge
- 
[Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
- 
**[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/)
- 
**[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/).
- 
**[SingleStore](https://github.com/singlestore-labs/mcp-server-singlestore)** - Interact with the SingleStore database platform
- 
**[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/)
- 
**[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
- 
**[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
- 
**[Terraform](https://github.com/hashicorp/terraform-mcp-server)** - Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by [Terraform](https://www.hashicorp.com/en/products/terraform)
- 
**[Thirdweb](https://github.com/thirdweb-dev/ai/tree/main/python/thirdweb-mcp)** - Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by [Thirdweb](https://thirdweb.com/)
- 
**[Tianji](https://github.com/msgbyte/tianji/tree/master/apps/mcp-server)** - Interact with Tianji platform whatever selfhosted or cloud platform, powered by [Tianji](https://tianji.msgbyte.com/).
- 
**[TiDB](https://github.com/pingcap/pytidb)** - MCP Server to interact with TiDB database platform.
- 
**[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
- 
**[Tldv](https://gitlab.com/tldv/tldv-mcp-server)** - Connect your AI agents to Google-Meet, Zoom & Microsoft Teams through [tl;dv](https://tldv.io)
- 
**[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
- 
**[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io)
- 
**[Upstash](https://github.com/upstash/mcp-server)** - Manage Redis databases and run Redis commands on [Upstash](https://upstash.com/) with natural language.
- **[Vectorize](https://github.com/vectorize-io/vectorize-mcp-server/)** - [Vectorize](https://vectorize.io) MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
- 
**[Verbwire](https://github.com/verbwire/verbwire-mcp-server)** - Deploy smart contracts, mint NFTs, manage IPFS storage, and more through the Verbwire API
- 
**[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform
- 
**[VeyraX](https://github.com/VeyraX/veyrax-mcp)** - Single tool to control all 100+ API integrations, and UI components
- 
**[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more
- 
**[WaveSpeed](https://github.com/WaveSpeedAI/mcp-server)** - WaveSpeed MCP server providing AI agents with image and video generation capabilities.
- 
**[Xero](https://github.com/XeroAPI/xero-mcp-server)** - Interact with the accounting data in your business using our official MCP server
- 
**[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database
- 
**[Zapier](https://zapier.com/mcp)** - Connect your AI Agents to 8,000 apps instantly.
- **[ZenML](https://github.com/zenml-io/mcp-zenml)** - Interact with your MLOps and LLMOps pipelines through your [ZenML](https://www.zenml.io) MCP server
**[Adfin](https://github.com/Adfin-Engineering/mcp-server-adfin)** - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with [Adfin](https://www.adfin.com/).
- **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/).
- **[Alation](https://github.com/Alation/alation-ai-agent-sdk)** - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
- **[Algolia MCP](https://github.com/algolia/mcp-node)** Algolia MCP Server exposes a natural language interface to query, inspect, and manage Algolia indices and configs. Useful for monitoring, debugging and optimizing search performance within your agentic workflows. See [demo](https://www.youtube.com/watch?v=UgCOLcDI9Lg).
- **[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server)** - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM.
- **[Alibaba Cloud AnalyticDB for MySQL](https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server)** - Connect to a [AnalyticDB for MySQL](https://www.alibabacloud.com/en/product/analyticdb-for-mysql) cluster for getting database or table metadata, querying and analyzing data.It will be supported to add the openapi for cluster operation in the future.
- **[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server)** - Manage the lifecycle of your Alibaba Cloud resources with [CloudOps Orchestration Service](https://www.alibabacloud.com/en/product/oos) and Alibaba Cloud OpenAPI.
- **[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools
- **[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic's API.
- **[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents
- **[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments using [Arize Phoenix](https://github.com/Arize-ai/phoenix), an open-source AI and LLM observability tool.
- **[Asgardeo](https://github.com/asgardeo/asgardeo-mcp-server)** - MCP server to interact with your [Asgardeo](https://wso2.com/asgardeo) organization through LLM tools.
- **[Astra DB](https://github.com/datastax/astra-db-mcp)** - Comprehensive tools for managing collections and documents in a [DataStax Astra DB](https://www.datastax.com/products/datastax-astra) NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions.
- **[Atlan](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)** - The Atlan Model Context Protocol server allows you to interact with the [Atlan](https://www.atlan.com/) services through multiple tools.
- **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
- **[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow.
- **[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.
- **[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names.
- **[BrowserStack](https://github.com/browserstack/mcp-server)** - Access BrowserStack's [Test Platform](https://www.browserstack.com/test-platform) to debug, write and fix tests, do accessibility testing and more.
- **[Cartesia](https://github.com/cartesia-ai/cartesia-mcp)** - Connect to the [Cartesia](https://cartesia.ai/) voice platform to perform text-to-speech, voice cloning etc.
- **[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
- **[Chiki StudIO](https://chiki.studio/galimybes/mcp/)** - Create your own configurable MCP servers purely via configuration (no code), with instructions, prompts, and tools support.
- **[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database
- **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- **[Codacy](https://github.com/codacy/codacy-mcp-server/)** - Interact with [Codacy](https://www.codacy.com) API to query code quality issues, vulnerabilities, and coverage insights about your code.
- **[CodeLogic](https://github.com/CodeLogicIncEngineering/codelogic-mcp-server)** - Interact with [CodeLogic](https://codelogic.com), a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
- **[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters.
- **[Dart](https://github.com/its-dart/dart-mcp-server)** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool
- **[DataHub](https://github.com/acryldata/mcp-server-datahub)** - Search your data assets, traverse data lineage, write SQL queries, and more using [DataHub](https://datahub.com/) metadata.
- **[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform
- **[Dynatrace](https://github.com/dynatrace-oss/dynatrace-mcp)** - Manage and interact with the [Dynatrace Platform ](https://www.dynatrace.com/platform) for real-time observability and monitoring.
- **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
- **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
- **[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
- **[Fibery](https://github.com/Fibery-inc/fibery-mcp-server)** - Perform queries and entity operations in your [Fibery](https://fibery.io) workspace.
- **[Github](https://github.com/github/github-mcp-server)** - GitHub's official MCP Server
- **[Gitea](https://gitea.com/gitea/gitea-mcp)** - Interact with Gitea instances with MCP.
- **[Glean](https://github.com/gleanwork/mcp-server)** - Enterprise search and chat using Glean's API.
- **[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox.
- **[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
- **[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data.
- **[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data
- **[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
- **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source
- **[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- **[Inbox Zero](https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server)** - AI personal assistant for email [Inbox Zero](https://www.getinboxzero.com)
- **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
- **[Klavis ReportGen](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/report_generation)** - Create professional reports from a simple user query.
- **[KWDB](https://github.com/KWDB/kwdb-mcp-server)** - Reading, writing, querying, modifying data, and performing DDL operations with data in your KWDB Database.
- **[Memgraph](https://github.com/memgraph/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
- **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
- **[Microsoft Clarity](https://github.com/microsoft/clarity-mcp-server)** - Official MCP Server to get your behavioral analytics data and insights from [Clarity](https://clarity.microsoft.com)
- **[Microsoft Dataverse](https://go.microsoft.com/fwlink/?linkid=2320176)** - Chat over your business data using NL - Discover tables, run queries, retrieve data, insert or update records, and execute custom prompts grounded in business knowledge and context.
- **[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
- **[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
- **[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform.
- **[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API.
- **[OceanBase](https://github.com/oceanbase/mcp-oceanbase)** - MCP Server for OceanBase database and its tools
- **[Octagon](https://github.com/OctagonAI/octagon-mcp-server)** - Deliver real-time investment research with extensive private and public market data.
- **[Paddle](https://github.com/PaddleHQ/paddle-mcp-server)** - Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports.
- **[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come.
- **[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment.
- **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base.
- **[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases
- **[Pulumi](https://github.com/pulumi/mcp-server)** - Deploy and manage cloud infrastructure using [Pulumi](https://pulumi.com).
- **[Pure.md](https://github.com/puremd/puremd-mcp)** - Reliably access web content in markdown format with [pure.md](https://pure.md) (bot detection avoidance, proxy rotation, and headless JS rendering built in).
- **[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
- **[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
- **[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis.
- **[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
- **[Snyk](https://github.com/snyk/snyk-ls/blob/main/mcp_extension/README.md)** - Enhance security posture by embedding [Snyk](https://snyk.io/) vulnerability scanning directly into agentic workflows.
- **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- **[Root Signals](https://github.com/root-signals/root-signals-mcp)** - Improve and quality control your outputs with evaluations using LLM-as-Judge
- [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
- **[SingleStore](https://github.com/singlestore-labs/mcp-server-singlestore)** - Interact with the SingleStore database platform
- **[Terraform](https://github.com/hashicorp/terraform-mcp-server)** - Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by [Terraform](https://www.hashicorp.com/en/products/terraform)
- **[Tianji](https://github.com/msgbyte/tianji/tree/master/apps/mcp-server)** - Interact with Tianji platform whatever selfhosted or cloud platform, powered by [Tianji](https://tianji.msgbyte.com/).
- **[Tldv](https://gitlab.com/tldv/tldv-mcp-server)** - Connect your AI agents to Google-Meet, Zoom & Microsoft Teams through [tl;dv](https://tldv.io)
- **[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io)
- **[Upstash](https://github.com/upstash/mcp-server)** - Manage Redis databases and run Redis commands on [Upstash](https://upstash.com/) with natural language.
- **[Vectorize](https://github.com/vectorize-io/vectorize-mcp-server/)** - [Vectorize](https://vectorize.io) MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
- **[Verbwire](https://github.com/verbwire/verbwire-mcp-server)** - Deploy smart contracts, mint NFTs, manage IPFS storage, and more through the Verbwire API
- **[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform
- **[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more
- **[WaveSpeed](https://github.com/WaveSpeedAI/mcp-server)** - WaveSpeed MCP server providing AI agents with image and video generation capabilities.
- **[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database
- **[Zapier](https://zapier.com/mcp)** - Connect your AI Agents to 8,000 apps instantly.
- **[ZenML](https://github.com/zenml-io/mcp-zenml)** - Interact with your MLOps and LLMOps pipelines through your [ZenML](https://www.zenml.io) MCP server
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