rashidazarang/airtable-mcp

Overview

A TypeScript-based MCP server that exposes Airtable bases, tables, and records to AI assistants through Anthropic's Model Context Protocol. It translates natural language requests into structured Airtable API calls, enabling read and write operations without manual API coding.

Best for

Best for
Developers building AI assistants that need direct, conversational access to Airtable data

Use cases

• Query and update Airtable records via natural language in Claude or other MCP-compatible assistants
• Automate data entry and retrieval workflows between AI agents and Airtable bases
• Build custom AI tools that interact with Airtable as a backend data store

Notes

A TypeScript-based MCP server that exposes Airtable bases, tables, and records to AI assistants through Anthropic’s Model Context Protocol. It translates natural language requests into structured Airtable API calls, enabling read and write operations without manual API coding.

84 stars on GitHub. Last updated 2026-02-20. Licensed MIT.

Use cases

• Query and update Airtable records via natural language in Claude or other MCP-compatible assistants
• Automate data entry and retrieval workflows between AI agents and Airtable bases
• Build custom AI tools that interact with Airtable as a backend data store

Pros

• Simplifies Airtable integration for AI applications by abstracting API complexity
• Open source with TypeScript for easy customization and extension
• Supports both reading and writing data through a standardized protocol

Cons

• Requires an MCP-compatible client (e.g., Claude) to function
• Limited to Airtable’s API rate limits and field type constraints
• Small community (84 stars) may mean fewer examples or support

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