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Image, video and audio · MCP server

Torrentclaw MCP: MCP server, setup and security

Torrentclaw MCP is an open-source MCP server published on GitHub that lets an AI agent find movies and shows with torrent links and streaming availability. Its repository has 16 stars and its last commit is from September 7, 2026 and it is licensed under MIT.

Score
62/100
Adoption (stars) 12/40
Maintenance 25/30
Framework (licence, registry, official) 25/30
OfficialActively maintained

What Torrentclaw MCP does

According to its repository: “Search and discover movies and TV shows with torrent links, quality scoring, streaming availability and cast/crew metadata.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Torrentclaw MCP is listed under Image, video and audio, a category of 67 servers in the directory, where it ranks #48 by stars.

Topics declared by the repository: ai-agents, magnet-links, media-search, movies, open-source, streaming.

Installing and connecting Torrentclaw MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Torrentclaw MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on February 12, 2026, the torrentclaw/torrentclaw-mcp repository has 16 stars and 4 forks, with 3 open issues. It has more stars than 35% of the servers in the directory. Last change 2 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

ScreenpipeScreenpipe : 22.1K22.1KFunASRFunASR : 20.8K20.8KRemove AI WatermarksRemove AI Watermarks : 6.1K6.1KOpenScreenOpenScreen : 4.9K4.9KOpenPostOpenPost : 755755FableCutFableCut : 746746Anki MCP ServerAnki MCP Server : 531531MCP youtube transcriptMCP youtube transcript : 492492Torrentclaw MCPTorrentclaw MCP : 1616
GitHub stars of the most followed servers in the category (log scale); Torrentclaw MCP in orange. Checked October 25, 2026.

Verdict

Torrentclaw MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Install from source

Frequently asked questions

How do I install Torrentclaw MCP?

No package is declared in the MCP registry: clone the torrentclaw/torrentclaw-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Torrentclaw MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Torrentclaw MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Torrentclaw MCP?

In the same category: OpenScreen, Remove AI Watermarks, FunASR, and Oh My Cassette. OpenScreen and Remove AI Watermarks score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score