Airtable MCP Server

Airtable MCP Server gives your AI agent full access to your Airtable bases — listing tables, reading records, creating entries, updating fields, and deleting rows. If you use Airtable as a lightweight database or project management tool, this server turns your AI into a hands-free Airtable operator that can query and modify data conversationally. At version 1.9.6, this is one of the more mature MCP servers in the ecosystem. It supports all core Airtable operations and handles pagination, field types, and linked records correctly. The server also ships as a Docker image, which makes it easy to deploy in team environments. The codebase is clean with only 8 open issues, suggesting solid reliability. The most practical use case is combining Airtable as a structured data layer with AI reasoning. Your agent can look up records, cross-reference data across tables, generate reports, and even maintain data quality by identifying and fixing inconsistencies — all through natural language. The limitation is that complex Airtable features like automations, interfaces, and scripting extensions are not exposed through MCP.