# Open Podcast Prefix Project (OP3) MCP Server

> Use this tool when you need to analyze podcast performance and gather insights on downloads, geography, and app share. It provides read-only access to OP3 podcast analytics, solving problems related to understanding audience engagement and distribution. The tool accepts queries and returns data on podcast metrics, making it ideal for use cases that require data-driven decision making in podcast management and optimization.

Canonical page: https://skillsregistry.net/skills/conorbronsdon-op3-mcp  
JSON: https://api.skillsregistry.net/v1/skills/conorbronsdon-op3-mcp

## Description

MCP server for OP3 podcast analytics: downloads, geography, app share. Read-only.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xwumhcs6ul)
- **Repository:** <https://github.com/conorbronsdon/op3-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": "conorbronsdon-op3-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/conorbronsdon-op3-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/conorbronsdon-op3-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