"Airtable" matching MCP servers:

Enables AI agents to interact with Airtable databases via natural language, supporting record CRUD, base listing, and schema exploration.

Enables AI-powered interaction with Airtable bases, supporting CRUD operations, schema management, webhooks, and natural language queries through the MCP protocol.

A Model Context Protocol server that provides read and write access to Airtable databases. This server enables LLMs to inspect database schemas, then read and write records.

The world's first dual-engine Airtable MCP server: programmatic control of both Airtable REST/Metadata APIs and Interface Designer (Dashboards, Kanbans, Column Edit Locks, and Publishing) via Chrome CDP.

Extends Airtable MCP server with full CRUD, bulk import/upsert, data analysis, schema validation, and data export capabilities.

Provides GraphQL access to Airtable and Google Sheets data, enabling natural language queries for data exploration, schema introspection, and record management.

Enables AI agents to create, manage, and monitor two-way data syncs between platforms like Airtable, Webflow, HubSpot, Salesforce, Notion, and Postgres, including mapping fields, running syncs, and troubleshooting record-level issues.

AITable.ai Model Context Protocol Server enables AI agents to connect and work with AITable datasheets.