Airtable MCP
Enables comprehensive interaction with the Airtable Web API to manage bases, tables, and records. It supports advanced features like batch record operations, CSV import/export, attachment uploads, and webhook management.
README
Airtable MCP (LobeChat Plugin)
Airtable MCP is a LobeChat plugin that proxies the Airtable Web API through a controlled gateway. It requires an access token for plugin users and uses a single server-side PAT.
Features
- List, get, create, update, and delete records (batch supported)
- CSV import/export helpers for records
- List bases and tables, and fetch a single table schema by id or name
- Manage record comments (list/create/update/delete)
- Upload attachments to attachment fields
- Manage webhooks (list/create/delete/refresh/enable notifications/list payloads)
Production URLs
- Manifest: https://airtable.4spotconsulting.com/manifest.json
- OpenAPI: https://airtable.4spotconsulting.com/openapi.json
- Gateway: https://airtable.4spotconsulting.com/api/gateway
Required Environment Variables
Set these on the server hosting the plugin:
- AIRTABLE_PAT=your-personal-access-token
- PLUGIN_ACCESS_TOKEN=your-access-token
Plugin Settings (LobeChat)
When installing the plugin, provide:
- access_token: your-access-token
The Airtable PAT is read from the server env and is not entered in the plugin UI.
Supported API Endpoints
Schema:
- bases_list
- tables_list
- tables_get
- tables_create
Records:
- records_list
- records_get
- records_create
- records_update
- records_delete
- records_exportCsv
- records_importCsv
Comments:
- comments_list
- comments_create
- comments_update
- comments_delete
Attachments:
- attachments_upload
Webhooks:
- webhooks_list
- webhooks_create
- webhooks_delete
- webhooks_refresh
- webhooks_enableNotifications
- webhooks_listPayloads
Local Development
npm install
npm run dev
The dev manifest is available at http://localhost:3400/manifest-dev.json
CSV Import Notes
records_importCsvcan create a new table whencreateTable=true.- If
tableIdOrNameis omitted, an auto table name likeCSV Import YYYY-MM-DD HHMMSSis used.
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