NetworkX
๐ ๐ - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization.
What is NetworkX?
NetworkX is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ๐ ๐ - the first networkx integration for model context protocol, enabling graph analysis and visualization directly in ai conversations. supports 13 operations including centrality algorithms, commu...
๐ ๐ - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- ๐ ๐ - The first NetworkX integration for Model Context Proto
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx bright-l01-networkxConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about NetworkX
What is NetworkX?
NetworkX is a Model Context Protocol (MCP) server that ๐ ๐ - the first networkx integration for model context protocol, enabling graph analysis and visualization directly in ai conversations. supports 13 operations including centrality algorithms, community detection, pagerank, and graph visualization. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install NetworkX?
Follow the installation instructions on the NetworkX GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with NetworkX?
NetworkX works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is NetworkX free to use?
Yes, NetworkX is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Data Science & ML MCP Servers
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Set Up NetworkX in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use NetworkX?
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