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NVIDIA AI CKG

MCP server · by Yarmoluk

Developer Tools PythonStreamable HTTP v0.16.4

NVIDIA AI knowledge graphs — 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx ckg-nvidia-ai
Streamable HTTPhttps://ckg-nvidia-ai.onrender.com/mcp

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "ckg-nvidia-ai": {
      "command": "uvx",
      "args": [
        "ckg-nvidia-ai"
      ]
    }
  }
}

About this server

NVIDIA AI CKG is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python, Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the NVIDIA AI CKG MCP server?

NVIDIA AI CKG is an MCP server by Yarmoluk. NVIDIA AI knowledge graphs — 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.

How do I install NVIDIA AI CKG?

Install it with: uvx ckg-nvidia-ai. Then add the JSON config to your client's MCP settings and restart the client.

Is NVIDIA AI CKG free to use?

The MCP server itself is free to install. The source is public on https://github.com/Yarmoluk/ckg-nvidia-ai. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support NVIDIA AI CKG?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.