Information
# Fastn Server
The Fastn server is a powerful, scalable platform that enables dynamic tool registration and execution based on API definitions. It seamlessly integrates with services like Claude.ai and Cursor.ai, providing a unified server solution for a wide range of tasks. With its robust architecture, Fastn delivers exceptional performance and flexibility for real-time, API-driven operations.
## Getting Started
### Package Installation (Recommended)
The easiest way to install the Fastn server is using pip:
\`\`\`bash
pip install fastn-mcp-server
\`\`\`
After installation, you can run the server with:
\`\`\`bash
fastn-mcp-server --api_key YOUR_API_KEY --space_id YOUR_SPACE_ID
\`\`\`
When using the package installation, your configuration for AI assistants will look like:
**macOS/Linux:**
\`\`\`json
\{
"mcpServers": \{
"fastn": \{
"command": "/path/to/fastn-mcp-server",
"args": [
"--api_key",
"YOUR_API_KEY",
"--space_id",
"YOUR_WORKSPACE_ID"
]
\}
\}
\}
\`\`\`
**Windows:**
\`\`\`json
\{
"mcpServers": \{
"fastn": \{
"command": "C:\\path\\to\\fastn-mcp-server.exe",
"args": [
"--api_key",
"YOUR_API_KEY",
"--space_id",
"YOUR_WORKSPACE_ID"
]
\}
\}
\}
\`\`\`
To find the exact path of the installed fastn-server command:
- On macOS/Linux: \`which fastn-server\`
- On Windows: \`where fastn-server\`
## Features
- **Integrated platform support** - Use services like Slack, Notion, HubSpot, and many more through the Fastn server after completing the simple setup
- **Logging support** - Comprehensive logging system
- **Error handling** - Robust error management for various scenarios
## Step-by-Step Setup Guide
### Step 1: Fastn Setup
1. Login to your Fastn account
2. Go to "Connectors" from the left sidebar
3. Activate the service(s) you want to use by clicking on activate.
4. Go to "Settings" from the left sidebar
5. Click on "Generate API Key" and save it somewhere locally (e.g., in a notepad)
6. Click on the copy button that exists on the top bar (left side of your profile)
7. Copy your Workspace ID and save it as well
8. All setup from Fastn is now complete
### Step 2: Server Setup
#### Option 1: Use Package Installation (Recommended)
See the "Package Installation" section above.
#### Option 2: Manual Setup
## Prerequisites
- Python 3.10 or higher
## Quick Start
### macOS
\`\`\`bash
# Clone repository and navigate to directory
git clone && cd fastn-server
# Install UV, create virtual environment, and install dependencies in one go
curl -LsSf https://astral.sh/uv/install.sh | sh && uv venv && source .venv/bin/activate && uv pip install -e .
# Run server (specify platform with --platform flag)
uv run fastn-server.py --api_key YOUR_API_KEY --space_id YOUR_SPACE_ID
\`\`\`
### Windows
\`\`\`bash
# Clone repository and navigate to directory
git clone && cd fastn-server
# Install UV, create a virtual environment, and install dependencies
# Option 1: Install UV using pip
python -m pip install uv
# Make sure to copy the installation path and add it to your Windows environment variables.
# Option 2: Install UV using PowerShell
powershell -c "irm https://astral.sh/uv/install.ps1 | iex" && uv venv && .venv\Scripts\activate && uv pip install -e .
# Run server (specify platform with --platform flag)
uv run fastn-server.py --api_key YOUR_API_KEY --space_id YOUR_SPACE_ID
\`\`\`
### Step 3: Integration with AI Assistants
#### For Package Installation (Option 1)
1. Find the path to your installed fastn-server:
- On macOS/Linux: \`which fastn-server\`
- On Windows: \`where fastn-server\`
2. Configure your AI assistant with the path from step 1.
#### For Manual Installation (Option 2)
##### Integration with Claude On Mac OS
1. Open the Claude configuration:
\`\`\`bash
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
\`\`\`
2. Add the following configuration (replace placeholders with your actual values):
\`\`\`json
\{
"mcpServers": \{
"fastn": \{
"command": "/path/to/your/uv",
"args": [
"--directory",
"/path/to/your/fastn-server",
"run",
"fastn-server.py",
"--api_key",
"YOUR_API_KEY",
"--space_id",
"YOUR_WORKSPACE_ID"
]
\}
\}
\}
\`\`\`
##### Integration with Cursor
1. Open Cursor settings
2. Click on "MCP" in the settings menu
3. Click on "Add New"
4. Add a name for your server (e.g., "fastn")
5. Select "Command" as the type
6. Add the following command (replace placeholders with your actual values):
\`\`\`
/path/to/your/uv --directory /path/to/your/fastn-server run fastn-server.py --api_key YOUR_API_KEY --space_id YOUR_WORKSPACE_ID
\`\`\`
### Detailed Integration Instructions
#### For Claude
1. Open the Claude configuration file:
- Windows: \`notepad "%APPDATA%\Claude\claude_desktop_config.json"\` or \`code "%APPDATA%\Claude\claude_desktop_config.json"\`
- Mac: \`open -a TextEdit ~/Library/Application\ Support/Claude/claude_desktop_config.json\` or \`code ~/Library/Application\ Support/Claude/claude_desktop_config.json\`
2. Add the appropriate configuration JSON based on your installation method.
#### For Cursor
1. Open Cursor settings
2. Click on "MCP" in the settings menu
3. Click on "Add New"
4. Add a name for your server (e.g., "fastn")
5. Select "Command" as the type
6. Use the appropriate configuration based on your installation method
### Troubleshooting
#### Package Structure Error
If you encounter an error like this during installation:
\`\`\`
ValueError: Unable to determine which files to ship inside the wheel using the following heuristics:
The most likely cause of this is that there is no directory that matches the name of your project (fastn).
\`\`\`
**Quick Fix:**
1. Make sure \`pyproject.toml\` has the wheel configuration:
\`\`\`toml
[tool.hatch.build.targets.wheel]
packages = ["."]
\`\`\`
2. Then install dependencies:
\`\`\`bash
uv pip install "httpx>=0.28.1" "mcp[cli]>=1.2.0"
\`\`\`
3. Run the server:
\`\`\`bash
uv run fastn-server.py --api_key YOUR_API_KEY --space_id YOUR_SPACE_ID
\`\`\`
## Logging
Logs are output with timestamp, level, and message in the following format:
\`\`\`
%(asctime)s - %(levelname)s - %(message)s
\`\`\`
## Support
For questions, issues, or feature requests, please visit:
- Documentation: [https://docs.fastn.ai](https://docs.fastn.ai)
- Community: [https://community.fastn.ai](https://community.fastn.ai)
## License
This project is licensed under the terms included in the [LICENSE](LICENSE) file.