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rashidazarang/airtable-mcp

MITAPI key required

🐍 ☁️ - Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filteri

TypeScriptAI & LLMs

Install

npx -y -y @rashidazarang/airtable-mcp

Required environment variables

AIRTABLE_TOKENSet in your MCP config
YOUR_AIRTABLE_TOKENSet in your MCP config
YOUR_TOKENSet in your MCP config

claude_desktop_config.json

claude_desktop_config.json
{
  "mcpServers": {
    "rashidazarang-airtable-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "-y",
        "@rashidazarang/airtable-mcp"
      ],
      "env": {
        "AIRTABLE_TOKEN": "<YOUR_AIRTABLE_TOKEN>",
        "YOUR_AIRTABLE_TOKEN": "<YOUR_YOUR_AIRTABLE_TOKEN>",
        "YOUR_TOKEN": "<YOUR_YOUR_TOKEN>"
      }
    }
  }
}

Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.

What this does

rashidazarang/airtable-mcp exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into other AI providers and LLM tooling without copy-pasting context every turn.

Requirements

This server needs the following environment variables to be set before it can run:

AIRTABLE_TOKEN
YOUR_AIRTABLE_TOKEN
YOUR_TOKEN

Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).

Common use cases

  • Delegate reasoning to a different model or LLM provider from a Claude session
  • Pull live model documentation, rate limits, or usage data into context
  • Chain Claude with another agent or evaluation pipeline