Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Connect your AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration—all through a standardized MCP interface compatible with Cursor, Claude Desktop, Cline, Zed, and other Claude-powered editors.
This application is a powerful Airtable integration tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to access and manipulate Airtable data directly from your IDE.
There are two core components used to access and manipulate Airtable data:
┌─────────────┐ ┌──────────────┐ ┌───────────────┐
│ MCP Client │ ──► │ Airtable │ ──► │ Airtable │
│ (e.g. │ ◄── │ MCP Server │ ◄── │ API │
│ Cursor) │ │ │ │ │
└─────────────┘ └──────────────┘ └───────────────┘
Model Context Protocol (MCP) is a capability supported by Anthropic AI models that allows you to create custom tools for any compatible client. MCP clients like Claude Desktop, Cursor, Cline, or Zed can run an MCP server which "teaches" these clients about new tools they can use.
This MCP has been updated to work with the latest MCP SDK version. The new implementation uses:
The easiest way to install:
Another fast way to get started:
# Install globally
npm install -g airtable-mcp
# Or run directly with npx
npx airtable-mcp --token "your_airtable_token" --base "your_base_id"
For detailed instructions on integrating with specific MCP clients, see:
For Cursor, update your ~/.cursor/mcp.json
file:
{
"mcpServers": {
"airtable-tools": {
"command": "npx",
"args": [
"airtable-mcp",
"--token", "your_airtable_token",
"--base", "your_base_id"
]
}
}
}
Restart your MCP client to load the new tools.
If you prefer to clone the repository and install manually:
Clone this repository:
git clone https://github.com/rashidazarang/airtable-mcp.git
cd airtable-mcp
Install dependencies:
pip install -r requirements.txt
Run the server:
python3.10 inspector_server.py --token "your_airtable_token" --base "your_base_id"
To verify your Airtable connection works correctly, you can use the included test script:
python3.10 test_client.py
This will directly test your Airtable API access and list your bases and table schemas.
Tool Name | Description |
---|---|
list_bases | List all accessible Airtable bases |
list_tables | List all tables in the specified or default base |
list_records | List records from a table with optional filtering |
get_record | Get a specific record from a table |
create_records | Create records in a table from JSON string |
update_records | Update records in a table from JSON string |
set_base_id | Set the current Airtable base ID |
MIT
Contributions are welcome! Please feel free to submit a Pull Request.