Airtable MCP Server

@rashidazarang

Basic information

About Airtable MCP Server

Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP)

Airtable MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "airtable": {
      "command": "npx",
      "args": [
        "-y",
        "@rashidazarang/airtable-mcp"
      ],
      "env": {
        "AIRTABLE_TOKEN": "YOUR_AIRTABLE_TOKEN",
        "AIRTABLE_BASE_ID": "YOUR_BASE_ID"
      }
    }
  }
}

Airtable MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Airtable MCP?

A Model Context Protocol (MCP) server that provides full CRUD operations, schema management, record comments, webhooks, batch operations, governance controls, and AI‑powered analytics for Airtable. It is designed for AI agents and developers who want to interact with Airtable data using natural language through MCP‑compatible clients like Claude Desktop or Claude Code.

How to use Airtable MCP?

Add the server configuration to your Claude Desktop or Claude Code MCP settings using npx, or run the one‑command setup script (for Claude Code). Set the AIRTABLE_TOKEN environment variable with a Personal Access Token (and optionally AIRTABLE_BASE_ID). Once connected, you can issue natural‑language commands such as “List all my bases” or “Create a new task with priority High”.

Key features of Airtable MCP

Full CRUD on records with filtering and pagination
Record comments – list, create, update, delete
Schema management – create and modify tables, fields, and views
Batch operations – process up to 10 records per operation
Webhook management – set up real‑time notifications
Governance & compliance – allow‑list governance, PII masking, exception tracking
AI analytics – 10 prompt templates for predictive analytics and insights
Multi‑base support – discover and work with multiple bases dynamically

Use cases of Airtable MCP

Query, create, update, and delete Airtable records via natural language
Manage base schemas – add tables, fields, and views programmatically
Automate record updates with batch create/update/delete operations
Monitor data changes with webhooks and review notifications
Run AI‑assisted analytics and generate reports from Airtable data

Frequently asked questions

What prerequisites are needed to use this server?

Node.js 18 or later, an Airtable account with a Personal Access Token, and optionally a Base ID (which can be discovered via the `list_bases` tool).

How do I obtain an Airtable Personal Access Token?

Create a token at [airtable.com/create/tokens](https://airtable.com/create/tokens) and grant the required scopes: `data.records:read`, `data.records:write`, `data.recordComments:read`, `data.recordComments:write`, `schema.bases:read`, `schema.bases:write`, `user.email:read`, and optionally `webhook:manage`.

Can I use the server without specifying a Base ID?

Yes. The Base ID is optional; you can omit it and use the `list_bases` tool to discover bases dynamically.

Does it support batch operations?

Yes. Three batch tools (`batch_create_records`, `batch_update_records`, `batch_delete_records`) each process up to 10 records per operation for improved performance.

What AI capabilities does it include?

Ten AI prompt templates covering predictive analytics, natural language querying, data quality audits, workflow optimization, and more. These are registered as MCP prompts and can be invoked by AI assistants.

Comments

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