# Transmission

> Use this tool when you need to manage and control BitTorrent torrents programmatically or through standardized MCP tools, solving problems such as automated torrent management and retrieval of torrent statistics. It provides a comprehensive interface for adding, removing, and manipulating torrents, as well as managing sessions and queues. With support for multiple transport modes, it offers flexible deployment options, including Docker, for streamlined torrent management.

Canonical page: https://skillsregistry.net/skills/philogicae-transmission  
JSON: https://api.skillsregistry.net/v1/skills/philogicae-transmission

## Description

A Python wrapper and MCP server for the Transmission BitTorrent client that provides comprehensive torrent management capabilities through both programmatic API access and standardized MCP tools. Built using the official transmission-rpc library, it offers tools for session management, torrent operations (add, remove, start, stop, verify), file manipulation, queue management, and statistics retrieval. The implementation supports multiple transport modes (stdio, SSE, streamable-http) and includes Docker deployment with an optional Transmission instance.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/philogicae-transmission)
- **Repository:** <https://github.com/philogicae/transmission-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "philogicae-transmission"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/philogicae-transmission` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/philogicae-transmission/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt