overseerr-mcp-server

overseerr-mcp-server

FastMCP server to interact with the Overseerr API for movie and TV show requests management, enabling users to request media, search, and manage libraries via natural language.

Category
访问服务器

README

FastMCP server for Overseerr

FastMCP server to interact with the Overseerr API for movie and TV show requests management, built using the fastmcp library.

Project Repository: https://github.com/ptbsare/overseerr-mcp-server

Components

Tools

The server implements the following tools to interact with Overseerr:

  • overseerr_status: Get the status of the Overseerr server.
  • overseerr_movie_requests: Get a paginated list of movie requests. Accepts optional status, start_date (YYYY-MM-DDTHH:MM:SS.mmmZ format), take (default 7), and skip (default 0).
  • overseerr_tv_requests: Get a paginated list of TV show requests. Accepts optional status, start_date (YYYY-MM-DDTHH:MM:SS.mmmZ format), take (default 7), and skip (default 0).
  • overseerr_request_movie_to_library: Submit a movie request using its TMDB ID to a specific library, on behalf of a specific user. Requires tmdb_id, library_name, and user_display_name. Available library names and user display names (unique ones only) are fetched at server startup and included in the tool's argument descriptions.
  • overseerr_request_tv_to_library: Submit a TV show request using its TMDB ID to a specific library, on behalf of a specific user. Requires tmdb_id, library_name, and user_display_name. Optionally accepts seasons (list of integers). Available library names and user display names (unique ones only) are fetched at server startup and included in the tool's argument descriptions.
  • overseerr_search_media: Search for movies and TV shows available on Overseerr. Accepts query and optional page (default 1).
  • overseerr_get_available_libraries: Get the configured Sonarr (TV) and Radarr (Movie) server IDs and names from Overseerr.
  • overseerr_get_users: Get a list of all users configured in Overseerr, including their ID, username, email, displayName, etc.

Example prompts

It's good to first instruct your AI assistant (e.g., Claude) to use the Overseerr tools. Then it can call the appropriate tool when needed.

Try prompts like these:

  • Get the status of our Overseerr server.
  • Show me the first 5 movie requests that are currently pending.
  • List all TV show requests from 2024-01-01 that are now available.
  • What movies have been requested but are not available yet?
  • What TV shows have recently become available in our library?
  • Search for the movie "Dune: Part Two" on Overseerr.
  • What movie and TV libraries are configured in Overseerr?
  • List all users in Overseerr.
  • Request the movie with TMDB ID 693134 for the user 'John Doe' in the 'Movies HD' library. (Uses user_display_name='John Doe', library_name='Movies HD')
  • Request seasons 1 and 2 for the TV show with TMDB ID 1396 for user 'Jane Smith' in the 'TV Shows 4K' library. (Uses user_display_name='Jane Smith')

Quickstart

Prerequisites

  • uv (installation instructions: https://github.com/astral-sh/uv)
  • An Overseerr instance running.
  • API Key from your Overseerr instance (Settings → API Keys).

Run with uvx (Recommended - No Installation Required)

You can run the server directly from the git repository using uvx — no clone or install needed:

uvx --from git+https://github.com/ptbsare/overseerr-mcp-server.git overseerr-mcp-server

Claude Desktop Configuration

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "overseerr-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ptbsare/overseerr-mcp-server.git",
        "overseerr-mcp-server"
      ],
      "env": {
        "OVERSEERR_API_KEY": "<your_api_key_here>",
        "OVERSEERR_URL": "<your_overseerr_url>"
      }
    }
  }
}

Replace <your_api_key_here> and <your_overseerr_url> with your actual Overseerr API key and URL.

Environment Variables

The following environment variables are required:

  • OVERSEERR_API_KEY: Your Overseerr API key (found in Overseerr Settings → API Keys)
  • OVERSEERR_URL: The URL of your Overseerr instance (e.g., http://localhost:5055)

For clients like Claude Desktop, add these to the env field as shown above. For local use, you can export them or use a .env file:

OVERSEERR_API_KEY=your_api_key_here
OVERSEERR_URL=http://localhost:5055

Local Development Installation

If you prefer to install locally for development:

git clone https://github.com/ptbsare/overseerr-mcp-server.git
cd overseerr-mcp-server
uv venv
source .venv/bin/activate # On Windows use `.venv\Scripts\activate`
uv pip install -e .

Development

Setup

Follow the installation steps using uv pip install -e . for an editable install.

Dependencies

Install or sync dependencies using uv:

uv sync
# or
uv pip install -e .

Debugging

Since MCP servers run over stdio, debugging can be challenging.

  • MCP Inspector: The MCP Inspector is highly recommended.

    Launch it pointing to your server script:

    # Using uvx (no local installation needed)
    npx @modelcontextprotocol/inspector uvx --from git+https://github.com/ptbsare/overseerr-mcp-server.git overseerr-mcp-server
    
    # Or using uv run (from local project directory)
    npx @modelcontextprotocol/inspector uv run overseerr-mcp-server
    

    Access the URL provided by the Inspector in your browser.

  • Logging: The server logs basic information to stdout/stderr. Check the terminal where you ran uv run overseerr-mcp-server. For clients like Claude Desktop, check the client's log files (e.g., ~/Library/Logs/Claude/mcp-server-overseerr-mcp.log on macOS, but the name might vary based on your config).

License

MIT

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
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
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
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
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
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
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
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