tracearr-mcp
MCP server exposing Tracearr's Public API v2 as read-only tools to query Plex, Jellyfin, and Emby monitoring data such as watch history, active streams, media, users, libraries, and recently added items.
README
tracearr-mcp
MCP server exposing Tracearr's Public API v2 (REST, read-only) as tools, so an LLM can query your Plex, Jellyfin, and Emby monitoring data: watch history, active streams, media, users, libraries, and recently added items.
Built with FastMCP, ported from the dashy-mcp
template.
Enabling the API on your Tracearr server
The Public API is read-only and requires a bearer API key. Generate one in
Tracearr Settings > General — the key looks like trr_pub_<token>. See
the API reference for details.
Install
Download a wheel from the latest release
and install it as a uv tool (no repo checkout needed):
uv tool install tracearr_mcp-*.whl
This puts a tracearr-mcp command on your PATH. Register it with Claude Code:
claude mcp add tracearr \
--env TRACEARR_URL=https://your-tracearr-host \
--env TRACEARR_API_KEY=<key> \
-- tracearr-mcp
From source
uv sync
cp .env.example .env # fill in TRACEARR_URL and TRACEARR_API_KEY
claude mcp add tracearr \
--env TRACEARR_URL=https://your-tracearr-host \
--env TRACEARR_API_KEY=<key> \
-- uv run --directory /path/to/tracearr-mcp tracearr-mcp
Config
| Env var | Required | Default |
|---|---|---|
TRACEARR_URL |
yes | - |
TRACEARR_API_KEY |
yes* | none (no auth header sent if unset) |
* Every API endpoint requires auth; practically you must set it, but the server still starts without one so errors surface from the API rather than at startup.
Tools
One tool per Tracearr Public API v2 endpoint. All are read-only.
| Tool | Endpoint |
|---|---|
tracearr_get_history |
GET /api/v2/public/history |
tracearr_get_streams |
GET /api/v2/public/streams |
tracearr_get_media |
GET /api/v2/public/media/{ref} |
tracearr_get_media_children |
GET /api/v2/public/media/{ref}/children |
tracearr_get_media_stats |
GET /api/v2/public/media/{ref}/stats |
tracearr_get_media_watchers |
GET /api/v2/public/media/{ref}/watchers |
tracearr_get_media_history |
GET /api/v2/public/media/{ref}/history |
tracearr_list_users |
GET /api/v2/public/users |
tracearr_get_user |
GET /api/v2/public/users/{id} |
tracearr_get_user_stats |
GET /api/v2/public/users/{id}/stats |
tracearr_get_user_history |
GET /api/v2/public/users/{id}/history |
tracearr_list_recently_added |
GET /api/v2/public/recently-added |
tracearr_list_libraries |
GET /api/v2/public/libraries |
ref accepts a canonical media uuid or a type-qualified provider ref such as
movie:tmdb:584 or show:tvdb:81189. Cursor-paginated tools take cursor
and page_size; read meta.nextCursor from the response and pass it back as
cursor to fetch the next page. Optional params are omitted when unset so the
API's defaults apply.
Development
make help # list all commands
| Command | Does |
|---|---|
make sync |
uv sync |
make test |
Offline tests - one per endpoint, mocked HTTP |
make test-integration |
Tests against the live instance (needs TRACEARR_URL/TRACEARR_API_KEY) |
make build |
Build wheel + sdist into dist/ |
make bump-patch / bump-minor / bump-major |
Bump the version in pyproject.toml + uv.lock |
make clean |
Remove build artifacts |
The release workflow (.github/workflows/release.yml) builds and publishes to
Releases whenever a v*
tag is pushed - so the usual flow is make bump-patch, commit, then tag and
push.
The integration suite is read-only (the Tracearr public API has no write surface), so it never modifies your instance.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。