jhomen368/overseerr-mcp
by Various
Model Context Protocol (MCP) server for Overseerr and Seerr (the unified successor) - enables AI assistants to search, request, and manage media through your Seer instance
MCP
jhomen368/overseerr-mcp
Added 1 June 2026
Overview
A Model Context Protocol (MCP) server that enables AI assistants to search, request, and manage media through a Seer instance (Overseerr or its unified successor Seerr). It implements the MCP standard to provide a programmatic interface for media management tasks.
Best for
Best for
Developers building AI assistants that need to manage media requests through Overseerr or Seerr
Use cases
- Searching for movies or TV shows via an AI assistant
- Requesting media additions to a media server
- Managing existing media requests and their status
How to use
Install
npm install -g @jhomen368/overseerr-mcp Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "seerr": {\n "command": "npx",\n "args": ["-y", "@jhomen368/overseerr-mcp"],\n "env": {\n "SEERR_URL": "https://seerr.example.com",\n "SEERR_API_KEY": "your-api-key-here"\n }\n }\n }\n} Notes
A Model Context Protocol (MCP) server that enables AI assistants to search, request, and manage media through a Seer instance (Overseerr or its unified successor Seerr). It implements the MCP standard to provide a programmatic interface for media management tasks.
14 stars on GitHub. Last updated 2026-05-25. Licensed MIT.
Use cases
- Searching for movies or TV shows via an AI assistant
- Requesting media additions to a media server
- Managing existing media requests and their status
Pros
- Lightweight JavaScript implementation for easy integration
- Standardized MCP interface allows use with any compatible AI assistant
- Open source and free to use
Cons
- Limited community adoption (14 stars) suggests early-stage project
- Requires a running Overseerr or Seerr instance to function
- Potential for breaking changes due to low maturity
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight JavaScript implementation for easy integration
- Standardized MCP interface allows use with any compatible AI assistant
- Open source and free to use
Cons
- Limited community adoption (14 stars) suggests early-stage project
- Requires a running Overseerr or Seerr instance to function
- Potential for breaking changes due to low maturity
Pairs with
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