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💡 Description
This project integrates the powerful GPU-accelerated graph visualization platform of Graphistry with the Model Control Protocol (MCP), allowing advanced graph analysis capabilities for AI assistants and LLMs. It enables LLMs to visualize and analyze complex network data through a standardized and LLM-compatible interface.
📝 JSON Entries
{
"mcpServers": [
{
"graphistry": {
"env": {
"GRAPHISTRY_PASSWORD": "your_password",
"GRAPHISTRY_USERNAME": "your_username"
},
"args": [
"/path/to/your/run_graphistry_mcp.py"
],
"command": "/path/to/your/.venv/bin/python"
}
}
]
}🛠️ Tools
visualize_graphget_graph_idsget_graph_infoapply_layoutdetect_patterns
⚡ Features
- GPU-accelerated graph visualization
- Advanced pattern discovery and relationship analysis
- Network analysis (community detection, centrality, pathfinding, anomaly detection)
- Support for multiple data formats (Pandas, NetworkX, edge lists)
- LLM-compatible API
💬 Example Queries
- Visualize a graph of relationships between user interactions.
- Detect patterns in network data using community detection.