mcp.film directory MCP Server

Search the curated directory of MCP servers for AI filmmaking and plan a full production stack.

Tools observed. Pod connected on 2026-09-13 and the server listed 15 tools directly. Verified.

At a glance

Source code: Open repository

GitHub popularity: 5 stars on c47-inc/mcp-film, recorded 2026-09-14.

Status

Pod connected to mcp.film directory on 2026-09-13. It answered and listed its tools, responding in 3536ms.

It identifies itself as mcp-film version 1.5.0, speaking streamable-http. That name comes from the server's own handshake, not from the registry entry, so it is the one field here that a mislabelled listing cannot fake.

Tools

Pod observed 15 tools when it connected:

search_film_mcps
get_film_mcp
list_film_categories
list_film_capabilities
get_film_capability
get_install_config
list_client_profiles
submit_listing
get_catalog_pulse
list_film_playbooks
get_film_playbook
list_film_recommendations
get_film_recommendation
recommend_film_mcps
plan_film_stack

Connect

Published as mcp-film on npm. Runs locally.

{
  "mcpServers": {
    "mcp-film-directory": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-film"
      ]
    }
  }
}

A hosted endpoint at https://mcp.film/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "mcp-film-directory": {
      "type": "http",
      "url": "https://mcp.film/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used mcp.film directory yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find mcp.film directory, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "mcp.film directory",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=mcp.film directory' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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