# seerr-mcp

> seerr-mcp — savagecore-seerr-mcp. Use this tool when you need to integrate media management capabilities into your workflow, enabling searches, discovery, and configuration of media libraries, user management, and integration with popular media servers like Plex, Jellyfin, and Emby. It solves problems related to media organization, user access, and automation, providing a REST API interface for inputs and outputs. This tool is ideal for use cases involving media cataloging, user permission management, and server configuration, with careful consideration for flagged destructive operations.

Canonical page: https://skillsregistry.net/skills/savagecore-seerr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/savagecore-seerr-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lp86lhbjpt)
- **Repository:** <https://github.com/arr-mcps/seerr-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": "savagecore-seerr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/savagecore-seerr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/savagecore-seerr-mcp/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