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domdomegg/airtable-mcp-server

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πŸ—‚οΈπŸ€– Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases

D

MCP

domdomegg/airtable-mcp-server

Added 1 June 2026

#airtable #mcp-server #model-context-protocol

Overview

An open-source Model Context Protocol server that translates MCP requests into Airtable API calls. It allows AI assistants to read, create, update, and delete records in Airtable bases using a standardized protocol. Written in TypeScript and hosted on GitHub with over 440 stars.

Best for

Best for
Developers building AI assistants that need structured access to Airtable data

Use cases

  • Query Airtable tables from an AI chatbot
  • Create and update Airtable records via natural language commands
  • Automate data management tasks by connecting AI agents to Airtable

Notes

An open-source Model Context Protocol server that translates MCP requests into Airtable API calls. It allows AI assistants to read, create, update, and delete records in Airtable bases using a standardized protocol. Written in TypeScript and hosted on GitHub with over 440 stars.

443 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

  • Query Airtable tables from an AI chatbot
  • Create and update Airtable records via natural language commands
  • Automate data management tasks by connecting AI agents to Airtable

Pros

  • Open source and written in TypeScript, easy to audit and extend
  • Leverages the Model Context Protocol for standardized AI tool integration
  • Simple setup for developers already using Airtable and MCP clients

Cons

  • Requires a running MCP client and an Airtable API key
  • Limited by Airtable’s API rate limits and base structure
  • Not a standalone service; needs user-managed infrastructure or hosting

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and written in TypeScript, easy to audit and extend
  • Leverages the Model Context Protocol for standardized AI tool integration
  • Simple setup for developers already using Airtable and MCP clients

Cons

  • Requires a running MCP client and an Airtable API key
  • Limited by Airtable's API rate limits and base structure
  • Not a standalone service; needs user-managed infrastructure or hosting