# Martini

> Use this tool when you need to manage complex AI filmmaking projects, as it streamlines the organization of scenes, assets, and generations, solving problems related to project coordination and asset tracking. Martini provides a centralized interface for inputting project details and outputs a structured framework for efficient project management. Ideal for use in film production, animation, and video content creation contexts.

Canonical page: https://skillsregistry.net/skills/film-martini-mcp  
JSON: https://api.skillsregistry.net/v1/skills/film-martini-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/film.martini%2Fmcp)
- **Repository:** <https://github.com/martini-film/mcp>

## Use it

MCP endpoint published by the skill: `https://www.martini.film/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "film-martini-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/film-martini-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/film-martini-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt