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Fal MCP Server

Connect Fal to your AI agents with the Fal MCP server.

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What is Fal MCP?

The Fal MCP server is a Model Context Protocol server that connects Fal to AI agents and assistants as a set of tools. With it connected, an agent can work with Fal (generative media inference — run image, video and audio models) directly — instead of you copying data in and out by hand.

It is a remote MCP server that uses OAuth, so you point your client at the server URL, authorize once, and the Fal tools become available to the model.

Connect the Fal MCP server

Connect Fal MCP to Claude Code

  1. 1

    Add the server

    Use `claude mcp add` with the Fal MCP server URL (or its `npx` command), following the official docs.

  2. 2

    Authorize

    Complete authentication (OAuth) so Claude Code can call the server.

  3. 3

    Verify

    Ask Claude to use a Fal tool to confirm the connection is live.

Connect Fal MCP to Cursor

  1. 1

    Open MCP settings

    In Cursor, go to Settings → MCP → Add new server.

  2. 2

    Add Fal

    Provide the Fal MCP server URL or command and complete authentication.

  3. 3

    Test

    Reference Fal from chat to confirm Cursor can reach the tools.

Using Fal MCP with Gamut

On Gamut, the Fal MCP server becomes a tool your agents use inside an automated, event-driven workflow — triggered by an event or a schedule, acting through Fal and your other connected MCP servers, with the connection managed by Gamut rather than a local config file.

Frequently asked questions

What is the Fal MCP server?

It is a Model Context Protocol server that exposes Fal to AI agents as tools so they can work with it (generative media inference — run image, video and audio models).

How do I connect the Fal MCP server?

Point your MCP client (Claude, Cursor, or Gamut) at the Fal MCP server URL and complete authentication (OAuth). See the official documentation for the exact URL and scopes.

Can I use Fal MCP with Gamut?

Yes — Gamut supports the Fal MCP server, so your agents can use it as a tool in automated, triggered workflows.