knowledge-mcp

knowledge-mcp

3
knowledge_and_memorydatabases

This project is an MCP Server prototype that serves knowledge extracted from a Neo4J Database. It requires setting up a Neo4J instance and is still in the development phase, not ready for production use.

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!

Getting Started

Run Neo4J in a Docker Container

Run Neo4J Docker Container

docker run \
    --restart always \
    --publish=7474:7474 \
    --publish=7687:7687 \
    neo4j:latest

Login to Neo4J in the browser http://localhost:7474/ and set a new password for the user neo4j.

Run the Data Loader

Run the Data Load er project to save some documents in Neo4J.These documents will be used by the MCP server to answer questions.

Remember to change the source code so that it points to the Neo4J instance you are running and the Neo4J username and password is set according to the one you set in the previous step.

Build the MCP Server

Build the server to generate the binaries that are needed.

Configure the MCP Server in Cursor

Go to Cursor Settings and add a new MCP server.

Remember to set the YOUR_PATH, YOUR_OPENAI_API_KEYand YOUR_NEO4J_PASSWORD to the correct values.

{
  "mcpServers": {
    "KnowledgeBase": {
      "type": "stdio",
      "command": "YOUR_PATH/knowledge-mcp/src/KnowledgeMcp.Server/bin/Debug/net9.0/KnowledgeMcp.Server",
      "args": [
        "YOUR_OPEN_AI_API_KEY",
        "neo4j://localhost:7687",
        "neo4j",
        "YOUR_NEO4J_PASSWORD"
      ]
    }
  }
}

Notes

  • You can use the MCP server in any client that supports MCP. Fx the Claude Desktop.
  • A possible first improvement could be to use Neo4Js response format to get a citation to the document used to answer the question.