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domdomegg/airtable-mcp-server

by Various

🗂️🤖 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

Connects your AI assistant to Airtable so it can read, create, update, and delete records in your bases, useful for any business that runs projects, inventory, or CRM-style tracking through Airtable. Ask it to look up a record, log a new entry, or update a status, all in plain English. Widely used and actively maintained, making it a dependable choice for teams already on Airtable.

Best for

Best for
Teams running projects, inventory, or CRM tracking in Airtable who want faster updates

Use cases

  • Look up a record in an Airtable base from a plain-English request
  • Log a new entry or update a status without opening Airtable
  • Query a table to answer a question about current data
  • Automate routine data management tasks in Airtable

How to use

Install

MCP_TRANSPORT=http PORT=3000 npx airtable-mcp-server

Tools exposed

  • list_records
  • search_records
  • list_bases
  • list_tables
  • describe_table
  • get_record
  • create_record
  • update_records
  • delete_records
  • create_table
  • update_table
  • create_field
  • update_field
  • create_comment
  • list_comments

Tested with

Claude Code, Claude Desktop, Cursor, Cline, VS Code

Example client config

{"AIRTABLE_API_KEY":"pat123.abc123"}

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
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