Python wrapper & MCP server for transmission
Python API Wrapper & MCP Server for Transmission
This repository provides a Python API wrapper and an MCP (Model Context Protocol) server for the Transmission torrent client using the transmission-rpc library. It allows for easy integration into other applications or services.
Table of Contents
Features
- API wrapper for the
Transmissiontorrent client using the officialtransmission-rpclibrary. - MCP server interface for standardized communication (stdio, sse, streamable-http).
- Tools:
get_session: Get Transmission session configuration and version info.get_session_stats: Get session statistics (speeds, torrent counts, cumulative stats).free_space: Get free disk space in bytes at the specified path.list_torrents: List all torrents and their details.get_torrent_details: Get detailed information about a specific torrent.get_torrent_stats: Get stats/status of a specific torrent.get_recently_active: Get recently active torrents and IDs of recently removed ones.add_torrent: Download a torrent from magnet link, HTTP URL, or local file.download_torrent: Download a torrent from a magnet link, HTTP URL, or local file.start_torrent: Start (resume) a torrent.stop_torrent: Stop (pause) a torrent.pause_torrent: Pause a torrent.verify_torrent: Verify torrent data integrity.reannounce_torrent: Reannounce torrent to trackers.move_torrent: Move torrent data to a new location.set_torrent_labels: Set labels for a torrent.remove_torrent: Remove a torrent (optionally delete data).delete_torrent: Delete a torrent and its files.forget_torrent: Forget a torrent, keeping the files.
Setup
Prerequisites
- An running instance of Transmission. (Included in docker compose)
- Python 3.10+ (required for PyPI install).
uv(for local development)
Configuration
This application requires the URL of your Transmission 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:
TRANSMISSION_URL: The URL of the Transmission instance (Default:http://localhost:9091).TRANSMISSION_USER: The username for Transmission authentication (optional).TRANSMISSION_PASS: The password for Transmission authentication (optional).
- Transmission Instance (for docker-compose setup):
TRANSMISSION_DOWNLOAD_DIR: The download directory for torrents (e.g.,/downloads).TRANSMISSION_WATCH_DIR: The watch directory for torrent files (e.g.,/watch).TRANSMISSION_RPC_URL: The RPC URL for the Transmission API (e.g.,http://localhost:9091/transmission/rpc).TRANSMISSION_PEER_PORT: The peer port for BitTorrent connections (e.g.,51413).TRANSMISSION_SPEED_LIMIT_DOWN: Download speed limit in KB/s (e.g.,100).TRANSMISSION_SPEED_LIMIT_UP: Upload speed limit in KB/s (e.g.,100).- Check Transmission 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 transmission-mcp
- Create a
.envfile in the directory where you'll run the application and add yourTransmissionURL:
TRANSMISSION_URL=http://localhost:9091
- Run the MCP server (default: stdio):
python -m transmission_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/transmission-mcp.git
cd transmission-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 transmission_client
For Docker
This method uses Docker to run the server in a container. compose.yaml includes Transmission torrent client.
- Clone the repository (if you haven't already):
git clone https://github.com/philogicae/transmission-mcp.git
cd transmission-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 transmission-mcp -f
Usage
As Python API Wrapper
import asyncio
from transmission_client import TransmissionClient
async def main():
# Initialize client (reads TRANSMISSION_URL, TRANSMISSION_USER, and TRANSMISSION_PASS from env)
client = TransmissionClient()
# Use as context manager for automatic cleanup
async with TransmissionClient() as client:
# Get session info
session = await client.get_session()
print(f"Transmission version: {session['version']}")
# Get session statistics
stats = await client.get_session_stats()
print(f"Download speed: {stats['downloadSpeed']} bytes/s")
# Check free space
free_space = await client.free_space("/downloads")
print(f"Free space: {free_space} bytes")
# List all torrents
torrents = await client.list_torrents()
# Add a torrent
await client.add_torrent("magnet:?xt=urn:btih:...")
# Get torrent details
details = await client.get_torrent("1") # Use ID or hash
# Control torrents
await client.stop_torrent("1") # Pause
await client.start_torrent("1") # Resume
# Verify torrent data
await client.verify_torrent("1")
# Move torrent data
await client.move_torrent("1", "/new/location", move=True)
# Set torrent labels
await client.set_torrent_labels("1", ["movies", "4k"])
# Remove torrent (keep files)
await client.remove_torrent("1", delete_data=False)
# Delete torrent and files
await client.remove_torrent("1", delete_data=True)
if __name__ == "__main__":
asyncio.run(main())
As MCP Server
from transmission_client import TransmissionMCP
TransmissionMCP.run(transport="sse") # 'stdio', 'sse', or 'streamable-http'
Via MCP Clients
Usable with any MCP-compatible client. Available tools:
get_session: Get Transmission session configuration and version info.get_session_stats: Get session statistics (speeds, torrent counts, cumulative stats).free_space: Get free disk space in bytes at the specified path.list_torrents: List all torrents and their details.get_torrent_details: Get details of a specific torrent by ID or hash.get_torrent_stats: Get stats/status of a specific torrent by ID or hash.get_recently_active: Get recently active torrents and IDs of recently removed ones.add_torrent: Add a torrent from magnet link, HTTP URL, or local file path.download_torrent: Download a torrent via magnet link, HTTP URL, or local file.start_torrent: Start (resume) a torrent by ID or hash.stop_torrent: Stop (pause) a torrent by ID or hash.pause_torrent: Pause a torrent by ID or hash.verify_torrent: Verify torrent data integrity by ID or hash.reannounce_torrent: Reannounce torrent to trackers by ID or hash.move_torrent: Move torrent data to a new location by ID or hash.set_torrent_labels: Set labels for a torrent by ID or hash.remove_torrent: Remove a torrent (optionally delete data) by ID or hash.delete_torrent: Delete a torrent and its files by ID or hash.forget_torrent: Forget a torrent, keeping the files, by ID or hash.
Example with Windsurf
Configuration:
{
"mcpServers": {
...
# with stdio (only requires uv)
"transmission-mcp": {
"command": "uvx",
"args": [ "transmission-mcp" ],
"env": {
"TRANSMISSION_URL": "http://localhost:9091", # (Optional) Default Transmission instance URL
"TRANSMISSION_USER": "username", # (Optional) Transmission username
"TRANSMISSION_PASS": "password" # (Optional) Transmission password
}
},
# with docker (only requires docker)
"transmission-mcp": {
"command": "docker",
"args": [ "run", "-i", "-p", "8000:8000", "-e", "TRANSMISSION_URL=http://localhost:9091", "-e", "TRANSMISSION_USER=username", "-e", "TRANSMISSION_PASS=password", "philogicae/transmission-mcp:latest", "transmission-mcp" ]
},
# with sse transport (requires installation)
"transmission-mcp": {
"serverUrl": "http://127.0.0.1:8000/sse"
},
# with streamable-http transport (requires installation)
"transmission-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.