knowledge-graph-generator-mcp-server

The Knowledge Graph Generator MCP Server is a robust platform that leverages the Model Context Protocol to streamline the process of generating and managing knowledge graphs. This server is designed to handle complex data structures and relationships, making it an ideal solution for organizations looking to harness the power of knowledge graphs for data analysis, semantic search, and AI applications. By utilizing MCP technology, the server ensures efficient data processing and integration, allowing users to build comprehensive and interconnected data models. The server supports various data formats and provides tools for visualizing and querying knowledge graphs, making it accessible to both technical and non-technical users.

Features

• Seamless integration with existing data sources for comprehensive knowledge graph creation.
• Advanced querying capabilities to extract meaningful insights from complex data relationships.
• User-friendly interface for visualizing and managing knowledge graphs.
• Scalable architecture to handle large volumes of data efficiently.
• Support for multiple data formats and interoperability with other systems.

Usage with Different Platforms

python

python
import mcp

# Initialize the MCP server
server = mcp.Server('http://localhost:8080')

# Create a new knowledge graph
graph = server.create_graph('my_knowledge_graph')

# Add data to the graph
server.add_data(graph, data_source='data.csv')

# Query the graph
results = server.query(graph, 'SELECT * WHERE { ?s ?p ?o }')

print(results)

javascript

javascript
const mcp = require('mcp');

// Connect to the MCP server
const server = new mcp.Server('http://localhost:8080');

// Create a new knowledge graph
const graph = server.createGraph('my_knowledge_graph');

// Add data to the graph
server.addData(graph, { dataSource: 'data.json' });

// Query the graph
server.query(graph, 'SELECT * WHERE { ?s ?p ?o }')
  .then(results => console.log(results));