Manage AI filmmaking projects, scenes, assets, and generations in Martini.
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At most: only reads or looks up information.
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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.
https://www.martini.film/mcp
Authentication is handled by Martini's OAuth flow. This repository does not include local binaries, API keys, or secrets.
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.
In Claude, add Martini as a custom connector with this server URL:
https://www.martini.film/mcp
claude mcp add --transport http martini https://www.martini.film/mcp
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"
}
}
}
This extension includes prompt-wrapper commands:
/martini:connect/martini:overview/martini:generate-plan/martini:upload-check/martini:projectgemini extensions uninstall mcp
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.
Email support@martini.film.