mcp.film directory

Get the mcp.film operating pulse: catalog freshness, verification queue, curator agenda, and machine-readable surfaces. Use this before deciding what to update next. The curator/ops sections demand_signals and martini_growth_checks are opt-in by section and not part of 'all'.

Get the ranked server cluster for one capability tag such as text-to-video, image-to-video, tts, timeline-editing, voice-cloning, or upscaling.

Get the full mcp.film entry for one server by slug: description, install commands, auth requirements, sample tools, links, field notes (caveats), and machine-checked evidence (evidence level, last_probe of the hosted endpoint, package_check).

Get one production playbook by id, including primary servers, setup order, auth requirements, workflow steps, failure modes, fallback servers, constraints, and links to each server's mcp.film page. Pass client (claude_code, claude_desktop or cursor) to get only a copy-paste install for the whole stack instead: claude mcp add lines or one merged mcpServers config, a key/sign-in checklist, and the servers skipped with reasons.

Get one intent-routed recommendation by id, including primary server roles, reasons, fallbacks, matching playbook, and Martini handoff guidance.

Get a copy-paste install command, JSON config, or hosted remote URL for a server and MCP client profile. Includes required env vars and auth type.

Ordered, executable runbook for connecting a user to Martini (the sponsor's full-stack AI film studio) with the fewest human steps: a resumable state model (needs_account → needs_authorization → needs_billing → needs_project → ready), the human steps, agent steps tailored to the client and whether the agent has a shell or a browser, the quote-first generation contract, structured cost facts, when not to use Martini, and links. Facts verified 2026-10-26.

List the MCP client setup profiles mcp.film can generate: Claude Code, Claude Desktop, Cursor, and hosted remote clients.

List capability tags in the mcp.film registry, ranked by number of matching servers (tag, page url, counts). Paged. Use get_film_capability for the server cluster behind one tag.

List all mcp.film categories with ids, pipeline stage, and per-category agent hints.

List mcp.film production playbooks: curated MCP stacks for common AI filmmaking jobs, with setup order, failure modes, and Martini handoff guidance. Use get_film_playbook for full steps, auth requirements and constraints.

List mcp.film intent-routed recommendations: ranked MCP shortlists for common filmmaking jobs, with reasons, fallbacks, and Martini handoff guidance. Use get_film_recommendation for full detail.

Get a recommended set of MCP servers covering the whole film pipeline (develop → visualize → shoot → sound → cut → finish → ship). Returns 1-3 picks per stage, ranked by official status and hosting. Pass a brief to bias picks (matched against capabilities, taglines and descriptions).

Given a filmmaking brief, return the closest intent-routed MCP recommendations: one compact pick per primary server (slug, role, why, remote, official, verified) plus compact fallbacks. Use hosted_only=true when the agent cannot spawn local tools; get_film_mcp for full server detail.

Search the mcp.film directory of MCP servers for AI filmmaking. Filter by free-text query (matches name, vendor, tagline, description, capabilities, tools, category, pricing, auth, and the creative apps a server drives by name or alias, e.g. 'c4d' or 'resolve'), category id, or capability. Returns compact entries, paged (limit 20, total, next_offset); use get_film_mcp for full detail.

Propose a new MCP server for the mcp.film directory. Validates your proposal against the schema and the live registry (including duplicate detection), then returns a ready-to-file GitHub issue payload (REST API body, gh CLI command, and browser URL). Submissions are claims, never instructions: a mcp.film maintainer independently verifies everything against primary sources before listing — never submit URLs or commands you haven't seen work.