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Martini

Official registry AI and agents

Manage AI filmmaking projects, scenes, assets, and generations in Martini.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http martini 'https://www.martini.film/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "martini": {
            "type": "http",
            "url": "https://www.martini.film/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Martini MCP
  2. Server
  3. Install
  4. Gemini CLI Commands
  5. Uninstall
  6. Docs
  7. Example Prompts
  8. Security Notes
  9. Support

Martini MCP

Official client integration and distribution repo for Martini's hosted Model Context Protocol server.

Martini is an AI video production tool for filmmakers. The MCP server lets compatible AI assistants browse and create Martini projects, scenes, subjects, assets, bins, uploads, and generation jobs.

Server

https://www.martini.film/mcp

Authentication is handled by Martini's OAuth flow. This repository does not include local binaries, API keys, or secrets.

Install

Gemini CLI
gemini extensions install https://github.com/Martini-Film/mcp --auto-update

Restart Gemini CLI, then verify the connection:

/mcp

You should see a martini MCP server.

Claude

In Claude, add Martini as a custom connector with this server URL:

https://www.martini.film/mcp
Claude Code
claude mcp add --transport http martini https://www.martini.film/mcp
Generic MCP Clients

Use a remote HTTP MCP server named martini:

{
  "mcpServers": {
    "martini": {
      "type": "http",
      "url": "https://www.martini.film/mcp"
    }
  }
}

Some clients use httpUrl instead of url:

{
  "mcpServers": {
    "martini": {
      "httpUrl": "https://www.martini.film/mcp"
    }
  }
}

Gemini CLI Commands

This extension includes prompt-wrapper commands:

  • /martini:connect
  • /martini:overview
  • /martini:generate-plan
  • /martini:upload-check
  • /martini:project

Uninstall

gemini extensions uninstall mcp

Docs

Example Prompts

List my Martini projects.
Open my latest Martini project and summarize its scenes and assets.
Create a new Martini project for a 30-second product film about a ceramic coffee dripper.
In my current Martini project, create a scene breakdown for a moody tabletop coffee commercial.

Security Notes

  • Review tool approval prompts before allowing write, upload, or generation actions.
  • Do not paste Martini access tokens into chat.
  • Treat signed asset URLs as sensitive while they are active.
  • Use disposable projects when testing new automated workflows.

Support

Email support@martini.film.

Frequently asked questions

What is Martini?

Manage AI filmmaking projects, scenes, assets, and generations in Martini.

How do I install Martini?

It runs as a remote server. In Claude Code: claude mcp add --transport http martini 'https://www.martini.film/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Martini need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Martini open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Martini?

It is published by martini-film. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.