# Jellyseerr MCP Server

> Use this tool when you need to manage media requests and libraries using natural language interactions. It solves problems related to media discovery, request management, and workflow automation by providing a user-friendly interface for searching, requesting, and tracking media. The tool accepts natural language inputs and outputs relevant media information, making it ideal for streamlining media library management and request processes.

Canonical page: https://skillsregistry.net/skills/aserper-jellyseerr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aserper-jellyseerr-mcp

## Description

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s0cjhedzcx)
- **Repository:** <https://github.com/aserper/jellyseerr-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": "aserper-jellyseerr-mcp"
    }
  }
}
```

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

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