Skillget

google-knowledge-graph-mcp

mcp
Security Audit
Fail
Health Pass
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in package.json
  • process.env — Environment variable access in src/client.ts
  • network request — Outbound network request in src/client.ts
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This is an MCP server that connects AI clients to Google's free public Knowledge Graph Search API, allowing users to search for structured information about people, places, organizations, and concepts.

Security Assessment
Overall Risk: Low. The tool accesses environment variables (`process.env`), which is the standard, secure method for reading the required Google API key. It makes expected outbound network requests specifically to the Google Knowledge Graph API to fetch entity data. There are no hardcoded secrets and no dangerous system permissions are requested.
However, there is one flagged finding: a `rm -rf` recursive force deletion command was detected inside the `package.json` file. While this is potentially concerning if it were arbitrary code execution, it is most likely a standard cleanup script (e.g., `rm -rf dist` or `rm -rf node_modules`) used during the build process. Developers should still verify the exact target of this script before running the package.

Quality Assessment
The project is relatively new but shows strong foundational health. It uses the permissive MIT license and is actively maintained, with repository activity reported within the last day. The README is well-written, offering clear installation instructions and use cases. Community trust is currently low but expected for a new tool, sitting at 10 GitHub stars.

Verdict
Safe to use, but verify the target of the `rm -rf` script in `package.json` before installing.
SUMMARY

MCP server for Google's free public Knowledge Graph Search API - search for structured entity information about people, places, organizations, and concepts

README.md

Google Knowledge Graph Search MCP

npm version
MCP Registry
License: MIT
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.

Google Knowledge Graph MCP server

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/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. Genuinely free - no billing account required.

  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

401 Unauthorized:

  • API key is invalid or expired
  • 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

Version: 1.0.0
Status: Production ready, tested with Claude Desktop

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