seerr-mcp

seerr-mcp

MCP server exposing Seerr's full v1 REST API as tools, enabling LLMs to search and discover media, manage requests and approvals, users, issues, watchlists, and integration settings for Plex/Jellyfin/Emby and Sonarr/Radarr, including reads and writes with destructive operations flagged.

Category
访问服务器

README

seerr-mcp

Part of the arr-mcps collection. MCP server exposing Seerr's v1 REST API (OpenAPI 3.0.2) as tools, so an LLM can read and manage a Seerr instance: search and discovery, media requests and their approval workflow, users, issues, watchlists and blocklists, Plex/Jellyfin/Emby and Sonarr/Radarr integration settings, notification agents, scheduled jobs, and more. Full surface — reads and writes, with destructive tools flagged.

Built with FastMCP.

Getting an API key

Generate one in Seerr Settings > General. Auth is the X-Api-Key header. An optional X-API-User header can impersonate a specific user id (defaults to user 1, the admin account the key belongs to).

Install

Download a wheel from the latest release and install it as a uv tool (no repo checkout needed):

uv tool install seerr_mcp-*.whl

This puts a seerr-mcp command on your PATH. Register it with Claude Code:

claude mcp add seerr \
  --env SEERR_URL=http://your-seerr-host \
  --env SEERR_API_KEY=<key> \
  -- seerr-mcp

From source

uv sync
cp .env.example .env   # fill in SEERR_URL and SEERR_API_KEY
claude mcp add seerr \
  --env SEERR_URL=http://your-seerr-host \
  --env SEERR_API_KEY=<key> \
  -- uv run --directory /path/to/seerr-mcp seerr-mcp

Config

Env var Required Default
SEERR_URL yes -
SEERR_API_KEY yes* none (no X-Api-Key header sent if unset)
SEERR_API_USER no none (no X-API-User header; API key acts as user 1)

* 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

15 resource-scoped tools, each covering multiple Seerr v1 endpoints (208 total) via an operation parameter. Call a tool with operation set to one of its listed operations and an arguments dict matching that operation's parameters — the tool's own description (visible to your MCP client) lists every operation, its signature, and a one-line doc. This keeps the full REST surface available while costing a fraction of the context budget of registering all 208 endpoints as separate tools. Seerr is settings-heavy, so its grouping is its own (not shared with the radarr/sonarr/bookshelf taxonomy).

Tool Operations Kind
seerr_settings_general 51 reads + writes
seerr_settings_notifications 31 reads + writes
seerr_users 30 reads + writes
seerr_discover 28 read-only
seerr_media_titles 13 read-only
seerr_auth 10 reads + writes
seerr_issues 10 reads + writes
seerr_requests 8 reads + writes
seerr_blocklist 6 reads + writes
seerr_media_records 5 reads + writes
seerr_service_arr 5 read-only
seerr_override_rules 4 reads + writes
seerr_search 3 read-only
seerr_system_status 2 read-only
seerr_watchlist 2 reads + writes

Example: seerr_requests(operation="seerr_get_request", arguments={"request_id": "42"}). Endpoint-level naming (seerr_<verb>_<resource>) is preserved as the operation value, so the full endpoint list is still discoverable from each group tool's description at runtime.

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 SEERR_URL/SEERR_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 offline suite covers every endpoint (mocked HTTP). The integration suite exercises GET endpoints against your live instance; POST/PUT/DELETE only run when SEERR_WRITE_TESTS=1, as a safe create→delete cycle against a scratch blocklist entry that is cleaned up afterwards.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
Kagi MCP Server

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。

官方
精选
Python
graphlit-mcp-server

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。

官方
精选
TypeScript
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选