rqbit▌
by philogicae
Easily manage torrent downloads with rqbit: add, pause, start, or delete torrents using magnet links and our advanced ma
Integrates with the rqbit BitTorrent client to enable torrent management operations including adding torrents via magnet links, monitoring download progress, and controlling torrent lifecycle with pause, start, delete, and forget commands.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Automating torrent downloads in applications
- / Building torrent management dashboards
- / Integrating BitTorrent functionality into workflows
- / Remote torrent client administration
capabilities
- / Add torrents via magnet links
- / Monitor download progress and status
- / Pause and resume active torrents
- / Delete torrents from client
- / Control torrent lifecycle operations
- / Query torrent statistics and metadata
what it does
Provides MCP integration with the rqbit BitTorrent client to manage torrents programmatically. Lets you add, monitor, and control torrent downloads through standardized API commands.
about
rqbit is a community-built MCP server published by philogicae that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily manage torrent downloads with rqbit: add, pause, start, or delete torrents using magnet links and our advanced ma It is categorized under file systems.
how to install
You can install rqbit in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
rqbit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Python API Wrapper & MCP Server for rqbit
This repository provides a Python API wrapper and an MCP (Model Context Protocol) server for the rqbit torrent client. It allows for easy integration into other applications or services.
<a href="https://glama.ai/mcp/servers/@philogicae/rqbit-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@philogicae/rqbit-mcp/badge?cache-control=no-cache" alt="Rqbit MCP server" /> </a>Table of Contents
Features
- API wrapper for the
rqbittorrent client. - MCP server interface for standardized communication (stdio, sse, streamable-http)
- Tools:
list_torrents: List all torrents and their details.download_torrent: Download a torrent from a magnet link or a file.get_torrent_details: Get detailed information about a specific torrent.get_torrent_stats: Get stats/status of a specific torrent.pause_torrent: Pause a torrent.start_torrent: Start a torrent.forget_torrent: Forget a torrent, keeping the files.delete_torrent: Delete a torrent and its files.
Setup
Prerequisites
- An running instance of rqbit. (Included in docker compose)
- Python 3.10+ (required for PyPI install).
uv(for local development)
Configuration
This application requires the URL of your rqbit instance.
Set Environment Variable: Copy .env.example to .env in your project's root directory and edit it with your settings. The application will automatically load variables from .env:
- MCP Server:
RQBIT_URL: The URL of the rqbit instance (Default:http://localhost:3030).RQBIT_HTTP_BASIC_AUTH_USERPASS: If setup in rqbit instance.
- Rqbit Instance:
RQBIT_HTTP_BASIC_AUTH_USERPASS: The username and password for basic authentication, in the formatusername:password.RQBIT_HTTP_API_LISTEN_ADDR: The listen address for the HTTP API (e.g.,0.0.0.0:3030).RQBIT_UPNP_SERVER_ENABLE: Enables or disables the UPnP server (e.g.,trueorfalse).RQBIT_UPNP_SERVER_FRIENDLY_NAME: The friendly name for the UPnP server (e.g.,rqbit-media).RQBIT_EXPERIMENTAL_UTP_LISTEN_ENABLE: Enables or disables the uTP listener (Default:false).- Check rqbit for other variables and more information.
Installation
Choose one of the following installation methods.
Install from PyPI (Recommended)
This method is best for using the package as a library or running the server without modifying the code.
- Install the package from PyPI:
pip install rqbit-mcp
- Create a
.envfile in the directory where you'll run the application and add yourrqbitURL:
RQBIT_URL=http://localhost:3030
- Run the MCP server (default: stdio):
python -m rqbit_client
For Local Development
This method is for contributors who want to modify the source code.
Using uv:
- Clone the repository:
git clone https://github.com/philogicae/rqbit-mcp.git
cd rqbit-mcp
- Install dependencies using
uv:
uv sync --locked
- Create your configuration file by copying the example and add your settings:
cp .env.example .env
- Run the MCP server (default: stdio):
uv run -m rqbit_client
For Docker
This method uses Docker to run the server in a container. compose.yaml includes rqbit torrent client.
- Clone the repository (if you haven't already):
git clone https://github.com/philogicae/rqbit-mcp.git
cd rqbit-mcp
- Create your configuration file by copying the example and add your settings:
cp .env.example .env
- Build and run the container using Docker Compose (default port: 8000):
docker compose up --build -d
- Access container logs:
docker logs rqbit-mcp -f
Usage
As Python API Wrapper
import asyncio
from rqbit_client.wrapper import RqbitClient
async def main():
# Read the RQBIT_URL from the .env file or fallback to default (http://localhost:3030)
async with RqbitClient() as client:
# Download a torrent
magnet_link = "magnet:?xt=urn:btih:..."
torrent = await client.download_torrent(magnet_link)
print(torrent)
# Check status
status = await client.get_torrent_stats(torrent["id"])
print(status)
# List torrents
torrents = await client.list_torrents()
print(torrents)
if __name__ == "__main__":
asyncio.run(main())
As MCP Server
from rqbit_client import RqbitMCP
RqbitMCP.run(transport="sse") # 'stdio', 'sse', or 'streamable-http'
Via MCP Clients
Usable with any MCP-compatible client. Available tools:
list_torrents: List all torrents.download_torrent: Download a torrent via magnet link or file path.get_torrent_details: Get details of a specific torrent.get_torrent_stats: Get stats/status of a specific torrent.pause_torrent: Pause a torrent.start_torrent: Start a torrent.forget_torrent: Forget a torrent, keeping the files.delete_torrent: Delete a torrent and its files.
Example with Windsurf
Configuration:
{
"mcpServers": {
...
# with stdio (only requires uv)
"rqbit-mcp": {
"command": "uvx",
"args": [ "rqbit-mcp" ],
"env": {
"RQBIT_URL": "http://localhost:3030", # (Optional) Default rqbit instance URL
"RQBIT_HTTP_BASIC_AUTH_USERPASS": "username:password" # (Optional) Only if setup in rqbit instance
}
},
# with docker (only requires docker)
"rqbit-mcp": {
"command": "docker",
"args": [ "run", "-i", "-p", "8000:8000", "-e", "RQBIT_URL=http://localhost:3030", "-e", "RQBIT_HTTP_BASIC_AUTH_USERPASS=username:password", "philogicae/rqbit-mcp:latest", "rqbit-mcp" ]
},
# with sse transport (requires installation)
"rqbit-mcp": {
"serverUrl": "http://127.0.0.1:8000/sse"
},
# with streamable-http transport (requires installation)
"rqbit-mcp": {
"serverUrl": "http://127.0.0.1:8000/mcp"
},
...
}
}
Changelog
See CHANGELOG.md for a history of changes to this project.
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
FAQ
- What is the rqbit MCP server?
- rqbit is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for rqbit?
- This profile displays 39 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Code & Document Analysis
Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Automated File Operations
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Content Search & Extraction
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
File Generation & Templates
Generate boilerplate files, apply templates, create project structures
Example
Create React component with tests and styles, generate OpenAPI spec, scaffold new project
Eliminate repetitive file creation work
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›File system permissions for directories you want to access
- ›Understanding of file paths and directory structure
- ›Backup of important files before bulk operations
Time Estimate
10-20 minutes including configuration
Installation Steps
- 1.Install filesystem MCP server (often built-in with Claude Desktop)
- 2.Configure allowed directories in MCP config for security
- 3.Test read: 'Show me contents of ~/Documents/test.txt'
- 4.Test write: 'Create a new file notes.md in current directory'
- 5.Test search: 'Find all .js files containing TODO'
- 6.Test batch operations: 'Rename all .jpeg files to .jpg'
- 7.Verify file permissions and access controls
Troubleshooting
- ⚠Permission denied: Check file/directory permissions, run with appropriate user
- ⚠Path not found: Verify path is absolute or relative to working directory
- ⚠MCP server can't access directory: Add to allowed directories in config
- ⚠File already exists: Use overwrite flag or check before writing
- ⚠Operation failed: Check disk space, file locks, antivirus interference
Best Practices▌
✓ Do
- +Configure allowed directories explicitly—don't grant full filesystem access
- +Back up important files before bulk operations
- +Use dry-run mode for risky operations when available
- +Validate file paths before operations
- +Set appropriate file permissions on created files
- +Log file operations for audit trail
- +Test operations on sample files first
✗ Don't
- −Don't grant MCP access to system directories (/etc, /System)
- −Don't allow write access to production config files
- −Don't skip backup before bulk delete/move operations
- −Don't use for sensitive files (passwords, keys) without encryption
- −Don't ignore file permission errors—investigate root cause
- −Don't expose personal documents without considering privacy
💡 Pro Tips
- ★Use .gitignore patterns to exclude sensitive files from AI access
- ★Create sandboxed working directory for file experiments
- ★Combine with version control (git) for easy rollback
- ★Use file watching for real-time monitoring and reactions
- ★Create templates for common file generation tasks
- ★Leverage file metadata (timestamps, size) for smart organization
Technical Details▌
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
- Local file system API
- Glob patterns for search
- File streams for large files
Compatibility
- macOS
- Linux
- Windows
- Local files only (no remote filesystems by default)
When to Use This▌
✓ Use When
Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.
✗ Avoid When
Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.
Integration▌
- →Combine with git for version-controlled file operations
- →Integrate with code editors for seamless workflow
- →Use with backup tools for safety net
- →Pair with file watchers for automated reactions
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★39 reviews- ★★★★★Aisha Srinivasan· Dec 24, 2024
rqbit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Min Perez· Dec 12, 2024
rqbit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Shikha Mishra· Dec 8, 2024
We wired rqbit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Jin Verma· Dec 8, 2024
We evaluated rqbit against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Rahul Santra· Nov 27, 2024
Strong directory entry: rqbit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Lucas Ramirez· Nov 15, 2024
According to our notes, rqbit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Jin Menon· Nov 3, 2024
rqbit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Min Liu· Oct 22, 2024
According to our notes, rqbit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Oct 18, 2024
Useful MCP listing: rqbit is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Maya Kim· Oct 10, 2024
We evaluated rqbit against two servers with overlapping tools; this profile had the clearer scope statement.
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