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Airtable MCP Server

@felores

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

felores

Airtable MCP Server について

An MCP server for interacting with Airtable - create, list, and search records, bases, and tables.

Airtable MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "airtable": {
      "command": "node",
      "args": [
        "/path/to/airtable-mcp-server/dist/index.js"
      ],
      "env": {
        "AIRTABLE_API_KEY": ""
      }
    }
  }
}

Airtable MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Airtable MCP Server?

An MCP server that bridges AI models with Airtable databases, enabling record creation, table listing, and data searches via the Model Context Protocol. Designed for developers integrating large language models with Airtable.

How to use Airtable MCP Server?

Install Node.js v16+, clone the repo, install dependencies, configure .env with your Airtable API key, build, then start with npm start. Integrate with Claude Desktop by adding a server configuration in claude_desktop_config.json.

Key features of Airtable MCP Server

  • List accessible bases and view table schemas
  • Create, list, and search records with Airtable formulas
  • Secure API key management and rate limiting
  • Input validation and comprehensive error handling
  • TypeScript support with robust test suite
  • Configurable request timeout and pagination

Use cases of Airtable MCP Server

  • Let an AI assistant create or update records in an Airtable base
  • Search Airtable data via natural language through an LLM
  • Automate data retrieval from multiple Airtable tables in a workflow
  • Enable AI tools to browse available bases and table structures

よくある質問

1

What is the difference between Airtable MCP Server and the standard Airtable API?

The server wraps the Airtable API for use with the Model Context Protocol, making it accessible to MCP-compatible AI models (like Claude) without custom integration code.

2

What are the runtime requirements?

Node.js v16 or higher, npm or yarn, and a valid Airtable API key.

3

Where are data and configuration stored?

Data stays in Airtable; the server holds no persistent data. Configuration is set via environment variables in a `.env` file.

4

What are the known limits?

Rate limiting defaults to 5 requests per minute (configurable), maximum 100 records per request, and a 30-second request timeout.

5

What transports or authentication does the server use?

The server uses MCP stdio transport for local communication. Authentication is via an Airtable API key passed as an environment variable.

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