mcp-film

mcp-film

The mcp.film directory as an MCP server. Give your agent a map of every MCP server worth knowing in AI filmmaking — searchable by capability, with copy-paste install configs and a full-pipeline planner.

claude mcp add mcp-film -- npx -y mcp-film

Or connect the hosted endpoint — same tools, no local install:

claude mcp add --transport http mcp-film https://mcp.film/mcp

Tools

Tool	What it does
search_film_mcps	Search by query, category, capability; filter to official/remote servers
get_film_mcp	Full entry for one server: install, auth, tools, caveats
list_film_categories	All categories with pipeline stages and agent hints
list_film_capabilities	Capability tags ranked by server count
get_film_capability	Ranked server cluster for one capability tag
get_install_config	Copy-paste config or hosted remote URL for claude_code / claude_desktop / cursor / hosted_remote
list_client_profiles	Supported MCP client setup profiles and install-shape hints
get_catalog_pulse	Operating pulse: freshness, demand signals, curator agenda, Martini checks, machine surfaces
list_film_playbooks	Curated production stack recipes for common AI filmmaking jobs
get_film_playbook	Full playbook with primary servers, workflow steps, constraints, and fallbacks
list_film_recommendations	Intent-routed MCP shortlists for common filmmaking jobs
get_film_recommendation	Full recommendation with roles, reasons, fallbacks, and Martini handoff guidance
recommend_film_mcps	Match a free-text brief to the best recommendations and first servers to connect
plan_film_stack	Recommended servers for every pipeline stage, biased by your brief
submit_listing	Propose a new server: validated, deduped against the live registry, returned as a ready-to-file GitHub issue payload (a mcp.film maintainer verifies against primary sources before listing)

How it works

Zero dependencies. Fetches the live registry from https://mcp.film/api/registry.min.json and production playbooks from https://mcp.film/api/playbooks.json, plus recommendation routes from https://mcp.film/api/recommendations.json and the operating pulse from https://mcp.film/api/pulse.json (5s timeout each), then falls back to bundled snapshots offline. Data is curated and re-verified continuously at github.com/c47-inc/mcp-film.

MIT.