iflow-mcp_xlisp-visualization-mcp-server

# Visualization MCP Server A powerful Model Context Protocol (MCP) server for creating interactive data visualizations using matplotlib. This server provides comprehensive visualization tools including relationship graphs, scatter plots, 3D visualizations, and more.  ## Features - 🔗 **Relationship Graphs**: Create network diagrams to visualize connections between entities - 📊 **Scatter Plots**: Basic and classification scatter plots with customizable styling - 🌐 **3D Visualizations**: Support for 3D scatter plots, surface plots, and wireframes - 📈 **Statistical Charts**: Histograms, line plots, and heatmaps - 💾 **Auto-save**: Automatically saves high-resolution images to temporary directory - 🖼️ **Live Display**: Shows plots in interactive matplotlib windows - 🎨 **Customizable**: Extensive styling options for colors, labels, and layouts ## Installation ### Prerequisites ```bash $ python3 -m venv .venv --upgrade-deps $ source .venv/bin/activate $ pip install "mcp[cli]" httpx $ pip install matplotlib numpy pandas networkx ``` ### Clone and Run ```bash git clone https://github.com/xlisp/visualization-mcp-server.git cd visualization-mcp-server python visualization_server.py ``` ## Usage ## 1. Cladue Desktop Client Config ```json "visualization": { "command": "/Users/clojure/Desktop/visualization-mcp-server/.venv/bin/python", "args": [ "/Users/clojure/Desktop/visualization-mcp-server/visualization_server.py" ] } ``` The server provides several visualization tools that can be called via MCP protocol: ### 1. Relationship Graph  Create network diagrams to show relationships between entities: ```python # Example: Show relationships between A, B, C, D nodes = ["Alice", "Bob", "Charlie", "Diana"] edges = [["Alice", "Bob"], ["Bob", "Charlie"], ["Alice", "Charlie"], ["Charlie", "Diana"]] # Call: create_relationship_graph(nodes, edges, "Social Network") ``` **Parameters:** - `no…