Airtable MCP server for Claude, ChatGPT, Claude Code and Cursor

How to connect Airtable

1. 1
   Click Connect Airtable free and sign in to Airtable.
2. 2
   Add ContextGate to your AI app:

   ClaudeChatGPTClaude CodeCursorGitHub CopilotCodexGemini CLIOther

   1. 1

      In Claude, open Settings → Connectors and click Add custom connector.

   2. 2

      Name it ContextGate and paste this URL:

      https://api.contextgate.ai/mcp

   3. 3

      Click Add, then Connect, and sign in to ContextGate.

   4. 4

      In a chat, turn ContextGate on from the + menu → Connectors. Cowork and the desktop app use the same connectors.

   The full Claude guide

   1. 1

      In ChatGPT settings, open Apps & Connectors (or Connectors) → Advanced and turn on Developer mode.

   2. 2

      Create a connector, choose OAuth, and paste this URL:

      https://api.contextgate.ai/mcp

   3. 3

      Sign in to ContextGate when ChatGPT redirects you, then pick the connector in a chat.

   The full ChatGPT guide

   1. 1

      Run this in a terminal:

      claude mcp add --transport http contextgate https://api.contextgate.ai/mcp

   2. 2

      Start Claude Code, run /mcp, choose contextgate and sign in to ContextGate.

   The full Claude Code guide

   Add to Cursor

   1. 1

      Click Add to Cursor, or add this to ~/.cursor/mcp.json:

      {
        "mcpServers": {
          "contextgate": {
            "url": "https://api.contextgate.ai/mcp"
          }
        }
      }

   2. 2

      In Cursor Settings → MCP, sign in to ContextGate when Cursor asks.

   The full Cursor guide

   Add to VS Code

   1. 1

      Click Add to VS Code, or add this to .vscode/mcp.json:

      {
        "servers": {
          "contextgate": {
            "type": "http",
            "url": "https://api.contextgate.ai/mcp"
          }
        }
      }

   2. 2

      Start the server when VS Code asks, sign in to ContextGate, and use it from Copilot Chat in Agent mode.

   The full GitHub Copilot guide

   1. 1

      Run this in a terminal:

      codex mcp add contextgate --url https://api.contextgate.ai/mcp

   2. 2

      Then sign in to ContextGate:

      codex mcp login contextgate

   The full Codex guide

   1. 1

      Run this in a terminal:

      gemini mcp add --transport http contextgate https://api.contextgate.ai/mcp

   2. 2

      In Gemini CLI, run /mcp auth contextgate and sign in to ContextGate.

   The full Gemini CLI guide

   1. 1

      Add a remote (HTTP) MCP server with this URL:

      https://api.contextgate.ai/mcp

   2. 2

      Apps that support MCP sign-in ask you to sign in to ContextGate the first time they connect.

   3. 3

      An app that can't sign in can use a workspace API key instead: create one under API keys and add ?api_key=<your key> to the URL.

   More on adding it to any MCP app
3. 3
   Ask your AI app to use Airtable, then open Activity to see the call.

Airtable's own MCP server

• ContextGate now connects to Airtable's own MCP server by default: in Add Connection, search for Airtable and sign in with your Airtable account. There's nothing to copy or paste.
• ContextGate's app connector for Airtable is still there, under Ways to connect on the same card.
• Whichever way you connect, your tool switches, policies and Activity work the same.

What you get with Airtable and ContextGate

• Your AI apps can use AirtableClaude, Cursor, ChatGPT and other AI apps reach Airtable through the one ContextGate connection you add to them.
• You choose which tools they can useSwitch off any Airtable tool you don't want used. It's hidden from your AI apps and refused if called.
• Every call is checked and recordedYour policies check each call (for example, personal data is hidden and secrets are blocked), and Activity keeps a record of it.

ContextGate sees only the tool calls that go through it, not your AI app's built-in tools or your chats.

Airtable tools

Examples of what your AI apps can do in Airtable. You'll see the exact list of tools after you connect it.

• update_multiple_recordsUpdates multiple existing records in a specified airtable table; these updates are not performed atomically.
• update_recordModifies specified fields of an existing record in an airtable base and table; the base, table, and record must exist.
• delete_recordPermanently deletes a specific record from an existing table within an existing airtable base.
• delete_multiple_recordsDeletes up to 10 specified records from a table within an airtable base.
• create_fieldCreates a new field within a specified table in an airtable base.
• create_commentCreates a new comment on a specific record within an airtable base and table.
• list_basesRetrieves all airtable bases accessible to the authenticated user, which may include an 'offset' for pagination.
• create_baseCreates a new airtable base with specified tables and fields within a workspace; ensure field options are valid for their type.
• create_multiple_recordsCreates multiple new records in a specified airtable table.
• create_recordCreates a new record in a specified airtable table; field values must conform to the table's column types.
• create_tableCreates a new table within a specified existing airtable base, allowing definition of its name, description, and field structure.
• delete_commentDeletes an existing comment from a specified record in an airtable table.
• get_base_schemaRetrieves the detailed schema for a specified airtable base, including its tables, fields, field types, and configurations, using the `baseid`.
• get_recordRetrieves a specific record from a table within an airtable base.
• get_user_infoRetrieves information, such as id and permission scopes, for the currently authenticated airtable user from the `/meta/whoami` endpoint.
• list_commentsRetrieves all comments for a specific record in an airtable table, requiring existing `baseid`, `tableidorname`, and `recordid`.
• list_recordsRetrieves records from an airtable table, with options for filtering, sorting, pagination, and specifying returned fields.