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Google Knowledge Graph

by houtini-aiversion 1.0.10i★ –iRuns on your computer
Registry nameio.github.houtini-ai/google-knowledge-graph

Install

Overview

Description from the maker (original English)

Search Google's Knowledge Graph for structured information about real-world entities

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: GOOGLE_KNOWLEDGE_GRAPH_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GOOGLE_KNOWLEDGE_GRAPH_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • GOOGLE_KNOWLEDGE_GRAPH_API_KEY secret required env
    Google Knowledge Graph Search API key

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account houtini-ai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5662 servers in this category
  • Published to the registry more recently than 74% of the other 5662 servers in this category
  • Basic checks equal to or better than 100% of the other 5662 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Google Knowledge Graph safe?

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.

What keys or codes does it need?

You need to fill in: GOOGLE_KNOWLEDGE_GRAPH_API_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.10) reached the registry 14 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

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.

Google Knowledge Graph Search MCP

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.

Why This Exists

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.

What You Get

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:

  • Entity names and types
  • Detailed descriptions (usually from Wikipedia)
  • Official images and URLs
  • Result scores (relevance ranking)
  • Machine IDs for further lookups

Installation

NPX (Easiest)

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 (CLI)

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.

Local Install

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:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Getting Your API Key

Google's Knowledge Graph Search API is free - no billing account, no card, no quota to unlock.

  1. Go to Google Cloud Console
  2. Create a new project (or select an existing one)
  3. Enable "Knowledge Graph Search API" in the API Library
  4. Navigate to "Credentials" and create an API key
  5. (Optional but recommended) Restrict the key to Knowledge Graph Search API only

That's it. No credit card, no billing setup.

Usage Examples

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.

What Gets Returned

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 }

Parameters

search_knowledge_graph
  • query (required): Search term
  • languages (optional): Language codes array, e.g. ["en"]
  • types (optional): Entity types to filter by, e.g. ["Person", "Organization"]
  • limit (optional): Max results (default 20, max 500)
lookup_knowledge_graph_entities
  • ids (required): Array of Machine IDs (MIDs), e.g. ["/m/0dl567"]
  • languages (optional): Language codes array

Common Entity Types

The Knowledge Graph uses schema.org types. Common ones:

  • Person - Individual people
  • Organization - Companies, institutions
  • Place - Locations, geographical entities
  • Event - Historical or current events
  • CreativeWork - Books, films, music, art
  • Product - Commercial products
  • ComputerLanguage - Programming languages
  • SportsTeam - Sports teams
  • Country - Nations and countries
  • City - Cities and municipalities

You can combine types for more specific searches.

Troubleshooting

MCP not appearing in Claude:

  1. Check your JSON syntax - one error breaks everything
  2. Verify the path uses correct escaping (\\ on Windows)
  3. Completely restart Claude Desktop (quit, not just minimise)
  4. Check the API key environment variable spelling

"API key required" error:

  • The environment variable isn't being read
  • Check spelling: GOOGLE_KNOWLEDGE_GRAPH_API_KEY
  • Restart Claude Desktop after config changes

No results returned:

  • Try different query terms
  • Remove entity type filters to broaden search
  • Check result limit isn't set too low

400 "API key not valid":

  • API key is invalid, expired, or the wrong kind (a Google AI Studio "AQ." key won't work - it must be a Google Cloud "AIza..." key)
  • Knowledge Graph Search API isn't enabled in your Google Cloud project

Building From Source

npm install

npm run build

The build process compiles TypeScript to CommonJS in dist/. No special configuration needed.

Technical Details

  • API Endpoint: https://kgsearch.googleapis.com/v1/entities:search
  • Response Format: JSON-LD with itemListElement array
  • Authentication: API key via query parameter
  • Rate Limits: Free tier quotas apply (generally 100,000 queries/day)
  • Module Format: CommonJS (compatible with Node.js MCP hosts)

Why CommonJS?

The 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.

Contributing

If you find issues or have improvements:

  1. Check existing issues first
  2. Test your changes locally
  3. Submit a PR with clear description

I'm particularly interested in hearing about:

  • Entity types that need better handling
  • Response parsing edge cases
  • Real-world usage patterns

Licence

MIT - do what you want with it.

Author

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 automation

Related


Status: Production ready, tested with Claude Desktop

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