domdomegg/airtable-mcp-server
by Various
🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
MCP
domdomegg/airtable-mcp-server
Added 1 June 2026
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_recordssearch_recordslist_baseslist_tablesdescribe_tableget_recordcreate_recordupdate_recordsdelete_recordscreate_tableupdate_tablecreate_fieldupdate_fieldcreate_commentlist_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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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