Knowledge MCP
K

Knowledge MCP

A prototype of a knowledge service MCP server based on the Neo4J database that can extract knowledge from Neo4J to answer questions and support use through clients such as Cursor.
2.5 points
12.9K

What is the Knowledge MCP Server?

The Knowledge MCP Server is a dedicated service that connects to a Neo4J database containing documents and knowledge. When you ask a question, it retrieves relevant information from the database to provide accurate answers.

How does it work?

The server leverages OpenAI's capabilities to understand questions and then queries the Neo4J graph database that stores knowledge documents. Through the Model Context Protocol (MCP), it supports multiple compatible clients to help you efficiently explore and manage knowledge.

Key Features

1. **Graph Database Integration**: Utilize the powerful features of Neo4J to store and retrieve complex relationships. 2. **Multi - client Support**: Compatible with MCP clients such as Cursor and Claude Desktop, providing flexible connection options. 3. **Efficient Querying**: Quickly locate relevant information through optimized query algorithms.

Functional Features

Neo4J Integration
Seamlessly connect to the Neo4J database, supporting efficient storage and querying of graph data.
MCP Support
Follow the Model Context Protocol standard and be compatible with various client tools.
Document Management
Support the storage and retrieval of multi - format documents, including PDF, Word, and text files.

Installation Guide

Frequently Asked Questions

Does it support Chinese documents?
How to connect to other databases?
Can the plugin system be extended?

More Resources

Official Documentation
Detailed technical documentation and usage guides.
Community Forum
Participate in discussions and get technical support.

Installation

Copy the following command to your Client for configuration
{
  "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"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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