knowledge-mcp

by simon-k

3 stars
179 downloads
Not rated
GitHub

About

MCP Server that serves knowledge from a Neo4J Database

Details

Author
simon-k
GitHub stars
3
Downloads
179
Categories
Knowledge Base

- Serves knowledge from a Neo4J database
- Uses OpenAI API for processing questions
- Prototype – not ready for production
- Configured via stdio transport
- Works with Cursor, Claude Desktop, and other MCP clients
- Includes an example data loader

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name knowledge-mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Run Neo4J in a Docker container, run the included data loader to populate documents, build the MCP server binary, then configure it in an MCP client (e.g., Cursor) by providing the server path, OpenAI API key, and Neo4J credentials. The server communicates over stdio transport.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "knowledge-mcp": {
            "knowledge-mcp": {
                "command": "docker",
                "args": [
                    "run",
                    "\\"
                ]
            }
        }
    }
}

McpServers

{
    "knowledge-mcp": {
        "command": "docker",
        "args": [
            "run",
            "\\"
        ]
    }
}

knowledge-mcp

MCP Server that serves knowledge from a Neo4J Database.

__The documents provided in this example are dummy guidelines. They are not real and serve the purpose to demonstrate
that knowledge can be extracted from Neo4J.__

This is a prototype and is not ready for production use!

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