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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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 Google's Knowledge Graph for structured information about real-world entities
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GOOGLE_KNOWLEDGE_GRAPH_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"google-knowledge-graph": {
"command": "npx",
"args": [
"-y",
"@houtini/google-knowledge-graph-mcp"
],
"env": {
"GOOGLE_KNOWLEDGE_GRAPH_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add google-knowledge-graph --env GOOGLE_KNOWLEDGE_GRAPH_API_KEY=your-value -- npx -y @houtini/google-knowledge-graph-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"google-knowledge-graph": {
"command": "npx",
"args": [
"-y",
"@houtini/google-knowledge-graph-mcp"
],
"env": {
"GOOGLE_KNOWLEDGE_GRAPH_API_KEY": "your-value"
}
}
}
}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": {
"google-knowledge-graph": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@houtini/google-knowledge-graph-mcp"
],
"env": {
"GOOGLE_KNOWLEDGE_GRAPH_API_KEY": "your-value"
}
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 7, 2026
The registry name was verified with the GitHub account houtini-ai, 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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: GOOGLE_KNOWLEDGE_GRAPH_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.10) reached the registry 14 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:★ 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.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Model Context Protocol server that connects Claude (or any MCP client) to Google's free public Knowledge Graph API. Search for real-world entities - people, places, organisations, concepts - and get structured data back.
Quick Navigation
Why this exists | What you get | Installation | Getting your API key | Usage examples | Parameters | Entity types | Troubleshooting
What is this? An MCP server. If you don't know what that means, you probably don't need this. If you're using Claude Desktop or another MCP-compatible client and want to search Google's knowledge database, this is for you.
I built this because I needed a way for Claude to verify entity information during research workflows. Google's Knowledge Graph contains structured data about millions of real-world entities - the same data that powers those knowledge panels in Google Search results.
The Knowledge Graph Search API is completely free. No billing account, no usage costs, just a Google Cloud API key. Most developers don't seem to know this exists, which is odd given how useful it is.
This MCP gives Claude (or any MCP client) access to that database.
Two tools for searching Google's knowledge graph:
1. Search by query - search_knowledge_graph Search for entities by name or description. Returns structured data including entity types, descriptions, Wikipedia URLs, and relevance scores.
2. Lookup by MID - lookup_knowledge_graph_entities If you already have Machine IDs (Google's internal entity identifiers), look them up directly. Useful for entity resolution workflows.
Both return JSON with:
Add this to your claude_desktop_config.json:
{
"mcpServers": { "google-knowledge-graph": { "command": "npx", "args": ["-y", "@houtini/google-knowledge-graph-mcp"], "env": { "GOOGLE_KNOWLEDGE_GRAPH_API_KEY": "your-api-key-here" } } } }
Claude Code uses a different registration mechanism -- it doesn't read claude_desktop_config.json. Use claude mcp add instead:
claude mcp add \
-e GOOGLE_KNOWLEDGE_GRAPH_API_KEY=your-api-key-here \ -s user \ google-knowledge-graph -- npx -y @houtini/google-knowledge-graph-mcp
Verify with:
claude mcp get google-knowledge-graph
You should see Status: Connected.
If you prefer running from source:
git clone https://github.com/houtini-ai/google-knowledge-graph-mcp.git
cd google-knowledge-graph-mcp npm install npm run build
Then configure Claude Desktop:
{
"mcpServers": { "google-knowledge-graph": { "command": "node", "args": ["C:\\path\\to\\google-knowledge-graph-mcp\\dist\\index.js"], "env": { "GOOGLE_KNOWLEDGE_GRAPH_API_KEY": "your-api-key-here" } } } }
Windows users: Use double backslashes in paths: C:\\MCP\\...
Config location:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonGoogle's Knowledge Graph Search API is free - no billing account, no card, no quota to unlock.
That's it. No credit card, no billing setup.
Once installed and Claude Desktop is restarted, you can:
Basic entity search:
Search the knowledge graph for "Marie Curie"
Entity type filtering:
Search knowledge graph for "Python" with types ["ComputerLanguage"]
Multiple results:
Search knowledge graph for "Paris" limit 5
Lookup by MID:
Look up knowledge graph entity /m/0dl567
The MCP returns structured JSON that Claude can parse. You'll get entity names, types, descriptions, URLs, and relevance scores.
Example response structure:
{
"entities": [ { "mid": "/m/0dl567", "name": "Taylor Swift", "type": ["Person", "Thing"], "description": "American singer-songwriter", "detailedDescription": "Taylor Alison Swift is an American singer-songwriter...", "image": "https://...", "url": "http://en.wikipedia.org/wiki/Taylor_Swift", "resultScore": 4258.07 } ], "count": 1 }
["en"]["Person", "Organization"]["/m/0dl567"]The Knowledge Graph uses schema.org types. Common ones:
Person - Individual peopleOrganization - Companies, institutionsPlace - Locations, geographical entitiesEvent - Historical or current eventsCreativeWork - Books, films, music, artProduct - Commercial productsComputerLanguage - Programming languagesSportsTeam - Sports teamsCountry - Nations and countriesCity - Cities and municipalitiesYou can combine types for more specific searches.
MCP not appearing in Claude:
\\ on Windows)"API key required" error:
GOOGLE_KNOWLEDGE_GRAPH_API_KEYNo results returned:
400 "API key not valid":
npm install
npm run build
The build process compiles TypeScript to CommonJS in dist/. No special configuration needed.
https://kgsearch.googleapis.com/v1/entities:searchitemListElement arrayThe MCP SDK uses CommonJS patterns. I've stuck with that for compatibility. If you're building your own MCP and want ES modules, that's fine - just different choices.
If you find issues or have improvements:
I'm particularly interested in hearing about:
MIT - do what you want with it.
Built by Richard Baxter (Houtini) as part of a collection of MCP servers for AI-assisted development and research workflows.
Other Houtini MCPs:
@houtini/gemini-mcp - Google AI chat with grounding and deep research@houtini/geo-analyzer - Content optimisation for AI search engines@houtini/brevo-mcp - Email marketing automationStatus: Production ready, tested with Claude Desktop