torrentclaw-mcp is the official Model Context Protocol (MCP) server launched by TorrentClaw, wrapping the TorrentClaw API as a standard MCP interface so that compatible AI assistants (such as Claude, GPT, etc.) can natively access the platform's search and discovery features.
Purpose: to provide AI assistants with movie and TV show search and discovery capabilities, including finding torrents with magnet links, checking streaming availability, and browsing cast and crew metadata.
Main capabilities: search movies and series; find torrents and get magnet links; check streaming availability; explore cast/crew metadata. No API key is required, with optional configuration to increase rate limits.
Usage: can be added to claude_desktop_config.json, or added to .mcp.json or ~/.claude/settings.json. Supports configuration via environment variables. Can be tested using MCP Inspector.
Use cases: users who need to directly perform film and television content searches, torrent lookups, and metadata queries within an AI assistant.
Limitations: the materials do not provide specific environment variable names, complete configuration examples, rate limit values, specific supported AI assistant versions, or platform compatibility details. The project uses the MIT license.