mcp-film

The mcp.film directory as an MCP server: search a curated, continuously re-verified catalog of ~87 MCP servers for AI filmmaking — video, image, and audio…

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What it can do

  • Search Film Mcps: Search the mcp.film directory of MCP servers for AI filmmaking. Filter by free-text query (matches name, vendor, tagline, capabilities), category id, or capability. Returns compact e
  • Get Film Mcp: Get the full mcp.film entry for one server by slug: description, install commands, auth requirements, sample tools, links, and field notes (caveats).
  • List Film Categories: List all mcp.film categories with ids, pipeline stage, and per-category agent hints.

What data it sees

Do you need an account

No: the server works without sign-in

The mcp.film directory as an MCP server: search a curated, continuously re-verified catalog of ~87 MCP servers for AI filmmaking — video, image, and audio generation, editing, 3D, and publishing. Get copy-paste install configs for any client, route a plain-English brief to ranked recommendations, and plan a full production stack.

How to connect

How to connect mcp-film to Claude

The server address to paste into Claude settings:

https://mcp-film--koh.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect mcp-film to ChatGPT

The server address to paste into ChatGPT settings:

https://mcp-film--koh.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect mcp-film to Cursor

The server address to paste into Cursor settings:

https://mcp-film--koh.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (15)

Raw names from tools/list. Only developers need these.

search_film_mcpsSearch the mcp.film directory of MCP servers for AI filmmaking. Filter by free-text query (matches name, vendor, tagline, capabilities), category id, or capability. Returns compact entries; use get_film_mcp for full detail.
get_film_mcpGet the full mcp.film entry for one server by slug: description, install commands, auth requirements, sample tools, links, and field notes (caveats).
list_film_categoriesList all mcp.film categories with ids, pipeline stage, and per-category agent hints.
list_film_capabilitiesList capability tags in the mcp.film registry, ranked by number of matching servers. Use get_film_capability for the server cluster behind one tag.
get_film_capabilityGet the ranked server cluster for one capability tag such as text-to-video, image-to-video, tts, timeline-editing, voice-cloning, or upscaling.
get_install_configGet 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.
list_client_profilesList the MCP client setup profiles mcp.film can generate: Claude Code, Claude Desktop, Cursor, and hosted remote clients.
submit_listingPropose 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.
get_catalog_pulseGet the mcp.film operating pulse: catalog freshness, demand signals, curator agenda, Martini growth checks, and machine-readable surfaces. Use this before deciding what to update next.
list_film_playbooksList 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 and auth gates.
get_film_playbookGet one production playbook by id, including primary servers, setup order, auth gates, workflow steps, failure modes, fallback servers, constraints, and links to each server's mcp.film page.
list_film_recommendationsList 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_film_recommendationGet one intent-routed recommendation by id, including primary server roles, reasons, fallbacks, matching playbook, and Martini handoff guidance.
recommend_film_mcpsGiven a filmmaking brief, return the closest intent-routed MCP recommendations and the first servers to connect. Use hosted_only=true when the agent cannot spawn local tools.
plan_film_stackGet 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 and taglines).