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Airtable MCP Pro

by IngoKiy

Airtable MCP Pro (Coolify-ready)

Vollständiger Airtable-Connector über MCP für ChatGPT Business / Projects.

  • Tools: list_bases, list_tables, list_fields, query, search, fetch, create, update, delete, upsert

  • Pagination (pageSize, offset), Sortierung, filterByFormula, fields[], view

  • Rate-Limit-Handling (429 Retry mit Backoff), Logging

  • Token-Strategie: Per-User via X-User-Token oder Workspace-Default AIRTABLE_TOKEN

Env

PORT=3000 AIRTABLE_TOKEN=pat_xxx # Fallback; bevorzugt X-User-Token Header AIRTABLE_BASE_ID=appXXXX # optional Default base AIRTABLE_TABLE=YourTable # optional Default table MCP_AUTH_TOKEN=change-me # optional Connector-Bearer LOG_LEVEL=info

Local run

npm ci npm run dev # health curl http://localhost:3000/health # list bases (requires token) curl -X POST http://localhost:3000/mcp -H "Content-Type: application/json" -H "X-User-Token: $AIRTABLE_TOKEN" -d '{"tool":"list_bases","input":{}}' # query with defaults curl -X POST http://localhost:3000/mcp -H "Content-Type: application/json" -H "X-User-Token: $AIRTABLE_TOKEN" -d '{"tool":"query","input":{"pageSize":5}}'

Deploy (Coolify)

  • Neues App (Dockerfile)

  • ENV setzen (AIRTABLE_TOKEN optional, MCP_AUTH_TOKEN optional, Defaults)

  • Domain/SSL → GET /health sollte { ok: true } liefern

  • ChatGPT Business → Settings → Connectors → Create → URL https://<domain>/mcp

    • Wenn MCP_AUTH_TOKEN gesetzt: als Bearer im Connector hinterlegen

    • Publish → im Projekt aktivieren

Tools & Inputs (JSON)

  • list_bases{}

  • list_tables{ "baseId": "app..." }

  • list_fields{ "baseId": "app...", "tableIdOrName": "tbl...|Name" }

  • query{ "baseId"?, "table"?, "view"?, "fields"?, "filterByFormula"?, "sort"?, "pageSize"?, "offset"? }

  • search{ "query": "...", "baseId"?, "table"?, "field"?, "formula"?, "view"?, "fields"?, "sort"?, "pageSize"?, "offset"? }

  • fetch{ "recordId": "rec...", "baseId"?, "table"? }

  • create{ "records": [{ "fields": {...}}], "baseId"?, "table"?, "typecast"? }

  • update{ "records": [{ "id": "rec...", "fields": {...}}], "baseId"?, "table"?, "typecast"? }

  • delete{ "recordIds": ["rec..."], "baseId"?, "table"? }

  • upsert{ "mergeField": "Email", "records": [{ "fields": {...}}], "baseId"?, "table"?, "typecast"? }

Hinweise

  • Per-User-Auth: Der Connector kann im Request-Header X-User-Token einen PAT entgegennehmen (z. B. von ChatGPT gespeicherte User-Creds). Ohne diesen nutzt er AIRTABLE_TOKEN.

  • Attachments: Über create/update kannst du Attachments per URL in ein Feld vom Typ „Attachment“ schreiben ({ fields: { Attachments: [{ url: "https://..." }] } }).

  • Upsert: Nutzt mergeField (eindeutig!), holt bestehende Records und splittet in Create/Update.

  • Limits: pageSize ≤ 100. Nutze die zurückgegebene offset, um zu paginieren.

Happy building 🚀

-
security - not tested
A
license - permissive license
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables comprehensive interaction with Airtable databases through MCP for ChatGPT Business/Projects. Supports full CRUD operations, querying, searching, and database management with pagination, filtering, and per-user authentication.

  1. Env
    1. Local run
      1. Deploy (Coolify)
        1. Tools & Inputs (JSON)
          1. Hinweise

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