Op3 Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Op3 Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<div align="center">
Podcast analytics for AI agents through OP3: downloads over time, listener geography, apps, and per-episode breakdowns. Read-only.
<img src="docs/demo.gif" alt="Demo: an agent calls the op3_show_downloads tool and gets monthly and weekly download counts back (sample data)" width="800">
</div>
An MCP server for OP3, the Open Podcast Prefix Project. It gives AI assistants podcast analytics that most hosting APIs do not expose: downloads over time, listener geography, the apps people listen in, and per-episode breakdowns.
Read-only by design. OP3 is an analytics service. This server only reads data. It cannot change anything, so it is safe to give an agent.
Why this exists. Most podcast hosts expose almost nothing through their API. Transistor's API, for example, returns download counts and not much else: no geography, no app share, no per-episode recency curve. OP3 has all of that, because it logs each download at the redirect. This server puts that data in front of an agent.
<a href="https://glama.ai/mcp/servers/conorbronsdon/op3-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/conorbronsdon/op3-mcp/badge" alt="op3-mcp MCP server" /> </a>
OP3 is a free, open analytics prefix for podcasts. You add https://op3.dev/e/ in front of your enclosure URLs, and OP3 logs each download before redirecting to your real audio file. It then reports downloads, geography, and app share. Stats pages are public; the API needs a token. See https://op3.dev for details.
If your feed does not use the OP3 prefix yet, OP3 has no data for it. See "Adding the OP3 prefix" below.
| Tool | What it returns | OP3 endpoint |
|---|---|---|
op3_get_show | Show UUID, title, podcast GUID, stats page URL, optional episode list | GET /shows/{showUuidOrPodcastGuidOrFeedUrlBase64} |
op3_show_downloads | Monthly downloads, weekly breakdown, weekly average | GET /queries/show-download-counts |
op3_episode_downloads | Per-episode downloads at 1/3/7/30 days and all-time | GET /queries/episode-download-counts |
op3_top_apps | Top apps/players by download share, last 3 calendar months | GET /queries/top-apps-for-show |
op3_top_countries | Top listener countries or regions (computed from raw records) | GET /downloads/show/{showUuid} |
op3_downloads_timeseries | Raw download events over a date range (time, country, app, device) | GET /downloads/show/{showUuid} |
Most tools need a show UUID. Start with op3_get_show to turn a feed URL or podcast GUID into a UUID.
Every list tool takes a limit and defaults it low (10) to keep responses small. Agents pay tokens per response.
preview07ce, which works against public shows.If you know your feed URL or podcast GUID, ask the assistant to run op3_get_show with it and it will return your UUID. You can also read the UUID from your show's OP3 stats page URL: https://op3.dev/show/{showUuid}.
#### Claude Code
Add to your .mcp.json:
{
"mcpServers": {
"op3": {
"command": "npx",
"args": ["-y", "@conorbronsdon/op3-mcp"],
"env": {
"OP3_API_TOKEN": "your-op3-token"
}
}
}
}#### Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"op3": {
"command": "npx",
"args": ["-y", "@conorbronsdon/op3-mcp"],
"env": {
"OP3_API_TOKEN": "your-op3-token"
}
}
}
}Ask your assistant: "Look up my show on OP3" with your feed URL, then "How many downloads did it get last month?"
OP3 only has data once downloads route through its prefix. To start:
https://op3.dev/e/ to your episode audio URLs. Many hosts (Transistor, Buzzsprout, and others) have a one-click OP3 toggle. Check your host's settings for an "OP3" or "analytics prefix" option.Read these so you know what the numbers mean.
op3_top_countries pulls raw download records and counts them by country on the client side. The result is representative, not a precise lifetime figure. OP3 returns raw records oldest-first, so the tool defaults to the last 90 days (window_days) when you do not pass an explicit start — otherwise the sample would be the show's oldest downloads, not recent listeners. Within the window, records are still sampled oldest-first, so on a high-volume show a max_records sample skews toward the start of the window; the response includes sampleHitCap so you can tell when the window held more records than were sampled. Raise max_records (cap 20000) for a larger, more representative sample at the cost of speed and rate-limit headroom.deviceType and deviceName, but there is no aggregate device query. You can see per-record device info via op3_downloads_timeseries. App share is available and exposed through op3_top_apps.limit and max_records modest. The server surfaces a clear error on HTTP 429.git clone https://github.com/conorbronsdon/op3-mcp.git
cd op3-mcp
npm install
npm run build
npm testRun locally:
OP3_API_TOKEN=your-token npm startTests mock fetch and make no network calls.
Issues and pull requests are welcome. If an OP3 endpoint changes shape, or there is an aggregate query worth wrapping as a tool, open an issue describing what you want and the OP3 endpoint it maps to. Keep the read-only contract: this server reports analytics, it does not change anything.
Built and maintained by Conor Bronsdon. I host the Chain of Thought podcast, which covers AI infrastructure, developer tools, and how practitioners actually use this stuff. I built this to pull honest listener analytics into the agent workflows that run the show.
Companion tools:
More at chainofthought.show and on X.
All views, opinions, and statements expressed on this account are solely my own and are made in my personal capacity. They do not reflect, and should not be construed as reflecting, the views, positions, or policies of Modular. This account is not affiliated with, authorized by, or endorsed by Modular in any way.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.