# Overseerr

> Use this tool when you need to automate media management and discovery in Plex or Jellyfin environments. It solves problems such as manual media searching, request processing, and information retrieval by providing a suite of specialized tools for media search, request submission, and management. With inputs including media queries and quality profiles, and outputs like detailed media information and automated requests, it streamlines media workflows and enables intelligent recommendation systems.

Canonical page: https://skillsregistry.net/skills/jhomen368-overseerr  
JSON: https://api.skillsregistry.net/v1/skills/jhomen368-overseerr

## Description

This Overseerr MCP server by jhomen368 provides direct integration to Overseerr instances for media management and automation. The server offers eight specialized tools including media search across movies/TV shows/people, media request submission with support for specific seasons and quality profiles, request management with approval/decline capabilities, and detailed media information retrieval from TMDB. Built with TypeScript and featuring both stdio and HTTP transport modes, Docker support, and comprehensive error handling, it enables automated media discovery and request workflows in Plex/Jellyfin environments, making it useful for building intelligent media recommendation systems, automated request processing, and voice-controlled media management interfaces.

## Trust

- **Trust score (0–1):** 0.90
- **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/jhomen368-overseerr)
- **Repository:** <https://github.com/jhomen368/overseerr-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": "jhomen368-overseerr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhomen368-overseerr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhomen368-overseerr/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