MCP Real Debrid

Overview

The MCP Real Debrid server is a lightweight, Python‑based MCP implementation designed to bridge AI assistants with the Real Debrid service. Real Debrid is a premium torrent‑link resolver that offers high‑speed, reliable downloads from various hosting sites. By exposing Real Debrid’s API through MCP, the server allows Claude and other AI agents to search for media, retrieve direct download links, and manage user accounts without manual intervention. This integration solves the common pain point of manually navigating third‑party torrent sites, handling authentication, and converting magnet links into usable URLs—all tasks that can be delegated to an AI workflow.

At its core, the server provides a single tool named . When invoked, this tool accepts a search query (e.g., “The Witcher Season 3”) and returns a structured list of results, each containing the media title, quality, size, and a direct download link. The tool also handles authentication by reading an API key stored in the server’s environment, ensuring that only authorized users can access Real Debrid resources. This encapsulation of authentication and request logic means developers can focus on higher‑level application logic rather than low‑level HTTP handling.

Key capabilities of the server include:

• Search and Resolve: Query Real Debrid’s catalog and obtain instant, high‑speed download links.
• Rate‑Limiting Awareness: The server respects Real Debrid’s API limits, automatically throttling requests to avoid quota exhaustion.
• Structured Responses: Results are returned in JSON with clear fields, making it trivial to parse and display in UI components or downstream services.
• Extensibility: While the current implementation focuses on search, the MCP framework allows additional tools (e.g., download status, account balance) to be added with minimal effort.

Real‑world scenarios that benefit from this MCP server include:

• Media Management Applications: An AI assistant can automatically fetch the latest episode links for a user’s watchlist and add them to a download queue.
• Content Aggregators: Platforms that curate streaming options can use the tool to populate a database with direct links, improving user experience.
• Automation Pipelines: DevOps teams can integrate the server into CI/CD workflows to pre‑download assets before deployment.

Integrating MCP Real Debrid into an AI workflow is straightforward: the assistant sends a prompt that triggers the tool, receives a JSON payload, and can then present results or initiate downloads. Because the server abstracts away authentication and API nuances, developers can compose complex conversational agents that seamlessly fetch media without exposing sensitive credentials or handling low‑level networking details. This tight coupling of AI intent and external service capability exemplifies the power of MCP in creating intelligent, data‑driven applications.