Audivo vs PodLearn
A side-by-side look at the Audivo and PodLearn MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Audivo for podcasts work as a local process; choose PodLearn for podcasts. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Audivo when
- You need dedicated capabilities in the Podcasts domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
AUDIVO_API_KEY, AUDIVO_API_BASE_URL, AUDIVO_YTDLP_PATH, AUDIVO_CACHE_DIR. - You want tools like
transcribe, search_shows, chart_shows.
Choose PodLearn when
- You need dedicated capabilities in the Podcasts domain.
- Its auth model fits you: OAuth 2.0.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Podcasts | Podcasts |
| Quality signal | 57/100 · Good | 37/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | API key required | OAuth 2.0 |
| Pricing | Not declared | Freemium |
| Required env vars | AUDIVO_API_KEYAUDIVO_API_BASE_URLAUDIVO_YTDLP_PATHAUDIVO_CACHE_DIR | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 2 |
| Directory activity | 0 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 13 | Not listed |
| Full listing | View Audivo | View PodLearn |
Tools & capabilities
Audivo tools 13
transcribeThe default.** One episode in, its transcript out, a page at a timesearch_showsFind shows by name, host, or topicchart_showsThe current chart for a categorylist_episodesA show's episodes, newest firstquotePrice a selection of many episodes before anything runsconfirmTurn a quote into a job groupgroup_statusWhere a group's jobs are, and which transcripts are readylist_groupsYour recent groupscancel_groupStop what has not started and release its creditsread_transcriptA job's transcript, a page at a time; waits for a running joblist_transcriptsYour recent transcripts, with their titlesupload_audioAnnounce and upload a file from this machine- +1 more on the listing page
PodLearn tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Audivo
{
"mcpServers": {
"audivo": {
"command": "npx",
"args": [
"-y",
"@audivo/mcp@latest"
],
"env": {
"AUDIVO_API_KEY": "YOUR_AUDIVO_API_KEY_HERE",
"AUDIVO_API_BASE_URL": "YOUR_AUDIVO_API_BASE_URL_HERE",
"AUDIVO_YTDLP_PATH": "YOUR_AUDIVO_YTDLP_PATH_HERE",
"AUDIVO_CACHE_DIR": "YOUR_AUDIVO_CACHE_DIR_HERE"
}
}
}
}
PodLearn
No confirmed install command for PodLearn yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Audivo is categorized under Podcasts and uses a local stdio subprocess. PodLearn belongs to Podcasts and uses an install path we have not confirmed yet. Pick Audivo for podcasts work and PodLearn for podcasts.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. PodLearn has no confirmed install command yet — follow its own setup instructions.
Audivo has no declared pricing — check the project's own site. Auth: api key required. PodLearn is listed as freemium — a free tier with paid plans. Auth: oauth 2.0. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add audivo and podlearn as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Audivo has a quality signal of 57/100 (Good) with 0 views, 0 installs and 0 GitHub stars. PodLearn has 37/100 (Fair) with 2 views, 0 installs and 2 GitHub stars.