Entra.Chat Podcast MCP Server
Enables AI assistants to search and retrieve transcripts from the Entra.Chat podcast about Microsoft Entra ID, with timestamped YouTube links and guest information.
README
Entra.Chat Podcast MCP Server
An MCP (Model Context Protocol) server for searching transcripts of Entra.Chat — Merill Fernando's Microsoft Entra podcast on YouTube. Ask your AI assistant about Entra ID features, community tools, and identity topics discussed on the show, and get answers with timestamped YouTube links that jump straight to the relevant moment.
Companion to entra-news-mcp (the written Entra.News newsletter archive) and microsoft-ai-roundup-mcp.
How it works
- Zero per-user infrastructure. Install via NPX; the transcript database (SQLite) is downloaded automatically from this repo's GitHub Releases on first run and cached locally (
~/.entra-news-podcast-mcp/). Updates are checked weekly. - Hybrid retrieval. BM25 keyword search (in-memory inverted index with Porter stemming — ideal for exact names like "PIM for Groups" or "Maester" in messy spoken-word transcripts) fused with OpenAI semantic vector search via Reciprocal Rank Fusion. No API key? Keyword search works out of the box.
- Timestamped deep links. Every search result links to
youtube.com/watch?v=...&t=...so you can hear the discussion in context. - Guest knowledge. Guests are extracted per episode with their profile links (LinkedIn, Twitter/X, GitHub, Bluesky) — ask "which episodes was X on?" or "who has been on the show?".
- Fresh weekly. A GitHub Action re-ingests the playlist every week and publishes an updated database release.
Installation
Requires Node.js 22+ (uses the built-in node:sqlite — no native dependencies).
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"entra-podcasts": {
"command": "npx",
"args": ["-y", "entra-news-podcast-mcp"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}
The OPENAI_API_KEY is optional — it enables semantic/hybrid search (embedding the query costs a fraction of a cent). Without it, BM25 keyword search is used.
Claude Code
claude mcp add entra-podcasts -- npx -y entra-news-podcast-mcp
VS Code (GitHub Copilot)
{
"servers": {
"entra-podcasts": {
"command": "npx",
"args": ["-y", "entra-news-podcast-mcp"]
}
}
}
Cursor
{
"mcpServers": {
"entra-podcasts": {
"command": "npx",
"args": ["-y", "entra-news-podcast-mcp"]
}
}
}
Tools
| Tool | Description |
|---|---|
search_entra_podcasts |
Search all episode transcripts. Modes: hybrid (default, BM25 + semantic via RRF), semantic, keyword. Results include episode, guests, and timestamped YouTube links. |
get_episode |
Full episode by video_id, episode_number, or date — metadata, guests with profile links, chapters with timestamped links, and the complete transcript with [mm:ss] markers. |
list_episodes |
Browse the archive; filter by year, month, and/or guest name. |
list_guests |
Directory of all podcast guests with profile links, appearance counts, and latest appearance. |
get_guest |
One guest by name: profile links and every episode they appeared on. |
find_tool_mentions |
Community tools discussed on the show, with timestamped links to hear the discussion. |
Example prompts
- "What did Merill and his guests say about PIM for Groups?"
- "Which episodes has Jane Doe been on? What's her LinkedIn?"
- "Find where Maester was discussed and give me the YouTube timestamp."
- "List the Entra.Chat episodes from March 2026."
Data & freshness
| Source | Entra.Chat playlist on YouTube (@merillx) |
| Transcripts | YouTube captions (uploaded captions preferred, auto-generated otherwise) |
| Refresh | Weekly GitHub Action → new db-* release |
| Local cache | ~/.entra-news-podcast-mcp/ (%USERPROFILE%\.entra-news-podcast-mcp\ on Windows) — update check at most every 7 days; delete the folder to force a fresh download |
| Runtime override | Set ENTRA_PODCAST_DB_PATH to use a local database file instead |
Development
npm install
npm run build
# Ingest (requires yt-dlp on PATH: pipx install yt-dlp / winget install yt-dlp)
node dist/scripts/ingest.js --limit 2 # test with 2 videos
node dist/scripts/ingest.js # full playlist backfill
node dist/scripts/ingest.js --incremental # only new videos
node dist/scripts/ingest.js --video <id> # one video (re-ingests)
node dist/scripts/ingest.js --reextract # rebuild guests + tool mentions from stored
# data (no network) — after editing
# guest-overrides.json or known-tools.ts
node dist/scripts/ingest.js --embed-missing # embed chunks that have no embedding yet
# (needs OPENAI_API_KEY; no YouTube access)
# Run the server against a local DB
ENTRA_PODCAST_DB_PATH=./entra-news-podcasts.db npx @modelcontextprotocol/inspector node dist/src/index.js
Set OPENAI_API_KEY during ingest to generate embeddings (semantic search); without it the ingest still completes and BM25 keyword search works.
Guest extraction overrides
Guests are extracted heuristically from video titles/descriptions. Episodes the heuristics miss are listed at the end of each ingest run — correct them in scripts/lib/guest-overrides.json (keyed by video_id, entries fully replace extraction for that video) and apply with node dist/scripts/ingest.js --reextract (no re-download needed).
Manual database refresh (if YouTube blocks CI)
YouTube sometimes blocks caption downloads from datacenter IPs (BOT_BLOCKED in the workflow log). Consumers are unaffected — the last-good release stays latest. To refresh manually from a residential IP:
node dist/scripts/ingest.js --incremental
gh release create "db-$(date -u +%Y.%m.%d)-9999" \
--repo darrenjrobinson/EntraNewsPodcastMCPServer \
--title "Database Update (manual)" --latest \
./entra-news-podcasts.db
Release process (maintainer)
Code releases (v* tags) publish to npm (Trusted Publishing / OIDC, no tokens) and the MCP Registry (io.github.darrenjrobinson/entra-news-podcast) via .github/workflows/publish-mcp.yml:
- Bump
versioninpackage.jsonand both version fields inserver.json(CI enforces lockstep). - Commit, then
git tag v0.x.y && git push origin main v0.x.y.
Database releases (db-* tags) are produced by the weekly workflow and never trigger an npm publish.
License
MIT © Darren Robinson
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。