Transmission MCP
T

Transmission MCP

This is a Python API wrapper and MCP server for the Transmission BT client, providing convenient remote management and integration tools.
2.5 points
5.9K

What is the Transmission MCP Server?

The Transmission MCP Server is a server based on the Model Context Protocol (MCP), specifically designed to interact with the Transmission BitTorrent client. It provides a standardized interface that allows various AI assistants and applications to remotely manage your download tasks, including operations such as adding, pausing, deleting torrents, and viewing download status.

How to use the Transmission MCP Server?

You can use this service in multiple ways: 1) Integrate it directly into your application as a Python library; 2) Communicate with other MCP clients as an MCP server via standard protocols (stdio, SSE, or HTTP); 3) Quickly deploy it through a Docker container. After configuring the connection information for the Transmission instance, you can start using it.

Use cases

This service is particularly suitable for the following scenarios: Users who need to remotely manage download tasks; Developers who want to integrate download functionality into automated workflows; Users who want to control downloads via voice or chat with an AI assistant; Environments where download status needs to be synchronized across multiple devices.

Main features

Session management
Get the Transmission client configuration, version information, and session statistics, including real-time data such as download/upload speed and the number of active tasks.
Torrent control
Complete torrent lifecycle management: Add (supports magnet links, URLs, local files), start, pause, verify, reannounce, move file locations, etc.
Torrent organization
Set tags for torrents to classify and manage them, facilitating the filtering and searching for specific types of download content.
Storage management
Check the available disk space at a specified path to ensure there is enough space for downloads and avoid download failures due to insufficient space.
Flexible transport protocols
Supports multiple MCP transport protocols: stdio (standard input/output), SSE (Server-Sent Events), and streamable-http, adapting to different integration scenarios.
Multiple installation methods
Provides three installation methods: PyPI installation, local development, and Docker containerized deployment, meeting the technical requirements and usage habits of different users.
Advantages
Standardized interface: Based on the MCP protocol, it can be seamlessly integrated with any MCP-compatible client (such as Windsurf, Claude Desktop, etc.)
Comprehensive functionality: Covers most commonly used functions of the Transmission client, meeting daily download management needs.
Easy to deploy: Provides Docker images and PyPI packages, simplifying the installation and configuration process.
Flexible connection: Supports multiple transport protocols, adapting to different network environments and integration requirements.
Open source and free: Under the MIT license, it can be freely used, modified, and distributed.
Limitations
Depends on Transmission: Requires the Transmission client to be installed and running first and cannot work independently.
Network requirements: Ensures that the MCP server can access the Transmission RPC interface.
Learning curve: Users unfamiliar with the MCP protocol may need time to understand the configuration method.
Function limitations: Some advanced features of Transmission may not be fully implemented.

How to use

Install the Transmission client
First, ensure that the Transmission BitTorrent client is installed and running on your system. You can download it from the Transmission official website or install it via a package manager.
Configure environment variables
Create a.env file and set the Transmission connection information, including the URL, username, and password (if authentication is enabled).
Install the MCP server
Choose the installation method that suits you: Install the PyPI package via pip or run it using a Docker container.
Configure the MCP client
Add the connection information of the Transmission MCP server to the configuration file of your MCP client (such as Windsurf).
Start using
Restart the MCP client. Now you can control Transmission download tasks through natural language or commands.

Usage examples

Manage the download queue via an AI assistant
A user is working and suddenly remembers needing to download a large file. By directly sending the magnet link via an AI assistant, the MCP server automatically adds it to Transmission without the need to manually operate the client interface.
Batch manage download tasks
A user has multiple download tasks that need to be managed uniformly, such as pausing all ongoing download tasks or deleting all completed tasks.
Automated workflow integration
A developer integrates the Transmission MCP server into an automated script. When the RSS feed is updated, it automatically downloads new episodes or software updates.
Remote home server management
A user connects to the Transmission instance on the home server via the MCP client on their phone while away from home, allowing them to check the download progress or add new tasks at any time.

Frequently Asked Questions

What's the difference between the Transmission MCP server and directly using the Transmission client?
Do I need to expose the Transmission RPC port to the public network?
Which Transmission versions are supported?
Can I manage multiple Transmission instances simultaneously?
What should I do if the download speed is slow?
How can I back up my download list and settings?

Related resources

Transmission official website
The official website of the Transmission BitTorrent client, providing downloads, documentation, and support.
GitHub repository
The source code and latest version of the Transmission MCP server.
Model Context Protocol documentation
The official specification and documentation of the MCP protocol.
PyPI project page
The project page on the Python Package Index, including version history and installation statistics.
Docker Hub image
The official Docker image repository, containing images of various versions.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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