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Airtable MCP

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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.

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Overview

Airtable MCP is a powerful integration tool that connects AI applications directly to Airtable, allowing users to query, create, update, and delete records using natural language.

To use Airtable MCP, install it via Smithery or NPX, configure your MCP client with your Airtable API token and base ID, and then interact with your Airtable data using natural language commands.

  • Base management: List and select Airtable bases - Table operations: Browse tables, fields, and records - Data access: Read, create, update, and delete records - Schema management: Export, compare, and update schemas - Command-line configuration: Use API tokens directly through command-line parameters - NPX compatible: Easy installation with a single command - Smithery integration: One-click installation via Smithery
  1. Automating data entry and updates in Airtable
  2. Generating reports and insights from Airtable data
  3. Integrating Airtable with AI-powered applications for enhanced data manipulation

Add to your AI client

Use these steps to connect Airtable MCP in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "airtable-mcp-rashidazarang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-airtable-mcp-rashidazarang"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "airtable-mcp-rashidazarang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-airtable-mcp-rashidazarang"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "airtable-mcp-rashidazarang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-airtable-mcp-rashidazarang"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "airtable-mcp-rashidazarang": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-airtable-mcp-rashidazarang"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "airtable-mcp-rashidazarang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-airtable-mcp-rashidazarang"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "airtable-mcp-rashidazarang": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-airtable-mcp-rashidazarang"
      ]
    }
  }
}

FAQ

Can I use Airtable MCP with any AI client?

Yes! Airtable MCP is compatible with any client that supports the Model Context Protocol (MCP).

Is there a cost to use Airtable MCP?

Airtable MCP is open-source and free to use.

What are the prerequisites for installation?

You need Node.js 14+, Python 3.10+, and an Airtable API token.

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