Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Search Merill's Weekly Microsoft AI Roundup (msai.ms) archive — curated weekly Microsoft AI news
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"microsoft-ai-roundup": {
"command": "npx",
"args": [
"-y",
"microsoft-ai-roundup-mcp"
]
}
}
}Run this in your terminal
claude mcp add microsoft-ai-roundup -- npx -y microsoft-ai-roundup-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"microsoft-ai-roundup": {
"command": "npx",
"args": [
"-y",
"microsoft-ai-roundup-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"microsoft-ai-roundup": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"microsoft-ai-roundup-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
The registry name was verified with the GitHub account darrenjrobinson, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 27 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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A Model Context Protocol (MCP) server for searching the archive of [Merill's Weekly Microsoft AI Roundup](https://msai.ms) — a curated weekly Substack newsletter by Merill Fernando (with Joanne Hayek) covering Microsoft AI: Copilot, GitHub, Azure AI, M365 AI integrations, and the surrounding ecosystem.
Ask natural-language questions like *"When did Copilot get feature X?"*, *"What did the roundup say about Build?"*, or *"Which GitHub projects has it highlighted?"* and get sourced answers with issue numbers, dates, and links.
Sister project to entra-news-mcp.
No installation, no API keys, no configuration required:
npx microsoft-ai-roundup-mcp
On first run the server downloads a pre-built search index (SQLite database) from this repo's GitHub Releases and caches it locally. It checks for an updated index at most once every 7 days.
Requires Node.js 22 or later — the server uses Node's built-in
node:sqlitemodule (no native dependencies). Node 20 will not work.
Add to claude_desktop_config.json:
{
"mcpServers": { "microsoft-ai-roundup": { "command": "npx", "args": ["microsoft-ai-roundup-mcp"] } } }
claude mcp add microsoft-ai-roundup -- npx microsoft-ai-roundup-mcp
{
"mcpServers": { "microsoft-ai-roundup": { "command": "npx", "args": ["-y", "microsoft-ai-roundup-mcp"] } } }
Keyword search works with zero configuration. For semantic (meaning-based) search, add an OpenAI API key:
{
"mcpServers": { "microsoft-ai-roundup": { "command": "npx", "args": ["microsoft-ai-roundup-mcp"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Without a key the server degrades gracefully to keyword-only search.
| Tool | Description | ||
|---|---|---|---|
search_microsoft_ai_roundup | Search the full archive with natural language or keywords. Hybrid semantic + keyword search; returns sourced excerpts with issue number, date, and URL. Args: query (required), limit (default 10, max 50), mode (hybrid \ | semantic \ | keyword). |
get_issue | Retrieve the full content of an issue by issue_number or date (YYYY-MM-DD or YYYY-MM), with section headings preserved. | ||
list_issues | Browse the archive with optional year/month filtering and pagination. | ||
find_tool_mentions | Find community tools, GitHub projects, and Microsoft AI products/features mentioned across issues, with surrounding context. Optional query filter. |
Substack API (https://msai.ms/api/v1/posts)
│ ▼ TypeScript ingestion script (scripts/ingest.ts) │ weekly GitHub Action — Tuesdays 09:00 UTC ▼ OpenAI text-embedding-3-small embeddings (1536 dims) │ ▼ SQLite via node:sqlite (Node 22 built-in — no native deps) │ ▼ GitHub Release asset: microsoft-ai-roundup.db │ ▼ NPX MCP Server (stdio) └─ Downloads DB on first run → caches in ~/.microsoft-ai-roundup-mcp/ └─ Re-checks for updates weekly (7-day staleness + tag diff) └─ In-memory cosine similarity + SQL LIKE keyword search
Search implementation (honest version): semantic search loads all embedding vectors into memory at startup and ranks by cosine similarity in JavaScript; keyword search uses SQL LIKE (exact phrase first, then per-word fallback). Hybrid mode merges and de-duplicates both result sets. No sqlite-vec, no FTS5 — deliberately simple, and more than adequate at this archive's scale.
A GitHub Actions workflow runs every Tuesday at 09:00 UTC (the morning after the newsletter's usual Monday publish). It incrementally ingests any new issues, verifies the database, and publishes it as a new GitHub Release tagged db-YYYY.MM.DD-NNNN. The NPX server picks up the new database automatically within a week (or immediately on a fresh install). A workflow_dispatch trigger provides a manual escape hatch for off-schedule publishes or full rebuilds.
| OS | Path |
|---|---|
| Windows | %USERPROFILE%\.microsoft-ai-roundup-mcp\ |
| macOS / Linux | ~/.microsoft-ai-roundup-mcp/ |
Delete the folder to force a fresh download of the latest database.
git clone https://github.com/darrenjrobinson/microsoft-ai-roundup-mcp
cd microsoft-ai-roundup-mcp npm install npm run build
export OPENAI_API_KEY=sk-... node dist/scripts/ingest.js # full ingest node dist/scripts/ingest.js --incremental # only new issues
./scripts/ingest.ps1 -Incremental
MSAI_ROUNDUP_DB_PATH=./microsoft-ai-roundup.db npx microsoft-ai-roundup-mcp
| Environment variable | Used by | Purpose |
|---|---|---|
OPENAI_API_KEY | ingest + server | Embeddings (required for ingest; optional for the server's semantic search) |
INGEST_DB_PATH | ingest | Output database path (default ./microsoft-ai-roundup.db) |
MSAI_ROUNDUP_DB_PATH | server | Use a local database instead of downloading from GitHub Releases |
Newsletter content is © Merill Fernando & Joanne Hayek. This project indexes the freely available public archive via the public Substack API (all posts are free, audience: "everyone") and always links back to the original issues. The code is MIT licensed.