Analysis updated 2026-05-18
Find a verified MCP server for AI voice synthesis or music scoring with the exact install command and known caveats listed.
Add mcp-film to Claude as an MCP server and ask it to recommend tools for a specific filmmaking task.
Browse production playbooks to find a pre-validated tool stack for a commercial video sprint or character series.
Submit a new MCP server via the GitHub issue form and have the automated triage agent verify and merge it.
| c47-inc/mcp-film | acip/slack-claude-agent | alexanderdaly/neurofhe-relay | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | easy | moderate | easy |
| Complexity | 1/5 | 3/5 | 2/5 |
| Audience | developer | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Add to Claude with: claude mcp add mcp-film -- npx -y mcp-film, no additional configuration required.
mcp.film is a curated directory of Model Context Protocol (MCP) servers covering the full AI filmmaking pipeline, from screenplay breakdown to YouTube upload. MCP is a standard that lets AI assistants connect to external tools and services. This directory helps filmmakers and developers find verified servers for video generation, voice synthesis, music scoring, editing, and distribution, with each listing annotated with install commands, authentication requirements, pricing notes, and known limitations. The directory is built to be read by AI agents as well as people. It publishes an llms.txt index, a full JSON registry, and an MCP-compatible API endpoint so that an AI assistant can query the catalog directly. The entire directory is also installable as an MCP server itself, meaning you can add it to Claude or another assistant and let the assistant browse and recommend tools from within a conversation. Day-to-day maintenance is largely automated. GitHub Actions run daily to verify links and search for new servers. A separate workflow handles community submissions through a GitHub issue form, using a Claude agent to triage and verify new entries. Data changes that pass validation merge automatically, only changes outside the data directory require human review. Community ratings collected from the live site feed back into the rankings weekly. The production playbooks section provides concrete stack recipes for common filmmaking scenarios, such as a commercial sprint or a character video series, including the setup order, authentication steps, and known failure modes. Client setup profiles give configuration guidance for tools like Claude Code, Claude Desktop, and Cursor. The project is MIT licensed and maintained by the team behind Martini, an AI video platform. The README discloses that Martini is the featured listing and states that all other tools are ranked on merit.
A curated, agent-readable directory of verified MCP servers for the full AI filmmaking pipeline, from video generation to distribution, that is also installable as an MCP server itself.
Mainly JavaScript. The stack also includes JavaScript, Node.js, Cloudflare Pages.
MIT license, use freely in personal or commercial projects.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.