# prowlarr-mcp

> prowlarr-mcp — amphineko-prowlarr-mcp. Use this tool when you need to automate metadata retrieval from Prowlarr indexers, solving problems like efficient release tracking and discovery. It takes in configurable queries, filters, and limits as inputs, and outputs relevant release metadata for use in workflows. Ideal for use cases requiring automated media management and organization.

Canonical page: https://skillsregistry.net/skills/amphineko-prowlarr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amphineko-prowlarr-mcp

## Description

Enables searching and retrieving release metadata from Prowlarr indexers, with configurable query types, indexer and category filters, result limits, and offsets for use in automated workflows.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gwi0c4u2cs)
- **Repository:** <https://github.com/amphineko/prowlarr-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": "amphineko-prowlarr-mcp"
    }
  }
}
```

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