podcast-summarizer-mcp
Connect via OpenClaw to interact with the podcast summarizer agent from Discord.
Connect via OpenClaw to interact with the podcast summarizer agent from Telegram.
Connect via OpenClaw to interact with the podcast summarizer agent from WhatsApp.
Search and discover YouTube channels via natural language, track channels, and summarize videos without requiring transcripts or subtitles.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@podcast-summarizer-mcpSummarize the latest video from @lexfridman"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Podcast Summarizer MCP 📝
MCP that works with OpenClaw, Claude Desktop, Claude Code. Search & discover YouTube channels via natural language and summarize videos with no transcripts or subtitles required.
Quick start (5 minutes)
Python 3.10+ and a Gemini API key (free) from https://aistudio.google.com.
1. Install
pip install podcast-summarizer-mcpThis puts podcast-summarizer-mcp on your PATH. (Or use pipx install
/ uvx install if you prefer isolated tools.)
2. Configure ONE host
Pick whichever you use. Replace AIza... with your Gemini key.
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"podcast-summarizer": {
"command": "podcast-summarizer-mcp",
"env": { "GEMINI_API_KEY": "AIza..." }
}
}
}Quit Claude Desktop fully (⌘Q) and reopen. Click the 🔌 icon —
podcast-summarizer should be listed.
Claude Code
claude mcp add podcast-summarizer \
--env GEMINI_API_KEY=AIza... \
-- podcast-summarizer-mcp
claude mcp list # should show podcast-summarizerOpenClaw
Add to ~/.openclaw/openclaw.json under mcp.servers:
"podcast-summarizer": {
"command": "podcast-summarizer-mcp",
"env": { "GEMINI_API_KEY": "AIza..." }
}Restart OpenClaw (pkill -f openclaw-gateway; openclaw).
Installing from source instead?
git clone,cd, thenpython3 -m venv .venv && .venv/bin/pip install -e ., and use the absolute path$(pwd)/.venv/bin/podcast-summarizer-mcpfor thecommandfield above.
Related MCP server: YouTube Insights MCP Server
Example prompts
Discover:
Does Andrej Karpathy have a YouTube channel?
Find me a few investing podcasts.
Track:
Add Forward Guidance to my channels
Add @ForwardGuidanceBW
What channels am I tracking?
Remove Forward Guidance
Summarize:
Summarize this video: https://www.youtube.com/watch?v=MO9ZTZPUwXY
Summarize today's new videos from all my channels in parallel
I have a 20-video backlog — no rush, do it overnight to save cost
The agent picks analyze_video_start (parallel, full price) by default
and analyze_videos_batch_start (50% off, async) only when you say
"no rush" / "overnight".
📱 Use via Telegram, WhatsApp & More (OpenClaw)
Connect this MCP to Telegram, WhatsApp, Discord and 20+ messaging platforms via OpenClaw — a self-hosted AI gateway. Talk to your podcast research agent from your phone, anywhere.
Telegram → OpenClaw agent (Claude / Gemini / GPT) → podcast-summarizer-mcp → Gemini + YouTubeOpenClaw routes messages from your chat platform of choice to an AI agent. The agent talks to this MCP over standard stdio — no Python wrapper or shim required.
Setup
# 1. Install OpenClaw (Node 22+)
npm install -g openclaw
# 2. Add a Telegram bot token (interactive — paste BotFather token)
openclaw configure --section channels
# 3. Add this MCP + agent + model to ~/.openclaw/openclaw.json:
# (already covered in Quick Start — use the OpenClaw snippet)
openclaw config set agents.defaults.model "anthropic/claude-sonnet-4-5"
# 4. Start the gateway
openclaw gatewayTools
13 tools. The agent picks; you don't call them directly.
Tool | Purpose |
| Fuzzy channel search |
|
|
| Subs, description, recent titles |
| Add to registry |
| Remove from registry |
| List tracked channels |
| New videos since last poll |
| Metadata only (no Gemini cost) |
| Launch Gemini analysis (returns |
| Poll for the result |
| 50%-cheaper batch path (24h SLA) |
| Poll batch result |
| Per-channel last-seen video |
Registry state lives at ~/.podcast-summarizer-mcp/channels.json.
Configuration
Set in the host's env block. Only GEMINI_API_KEY is required.
Variable | Default |
| required |
|
|
|
|
|
|
|
|
| unset → built-in investment-podcast prompt |
VIDEO_ANALYSIS_PROMPT_PATH is re-read on every analysis call (no restart). Bundled examples in prompts/: investment-podcast.md, technical-talk.md, interview.md, news-briefing.md.
MIT License.
Maintenance
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