Official descriptionNetworkX MCP Server Academic-focused graph analysis in your AI conversations** - The first and only NetworkX MCP server specialized for academic research and citation analysis.
Config template (adjust for your client)
claude mcp add networkx-mcp-server -- npx -y networkx-mcp-server
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21 โ ยท Bright-L01/networkx-mcp-server ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 21 โ ยท 7 sources ยท mcp
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repository Bright-L01/networkx-mcp-server๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
**Academic-focused graph analysis in your AI conversations** - The first and only NetworkX MCP server specialized for academic research and citation analysis. ๐ What is this? NetworkX MCP Server enables Large Language Models (like Claude) to perform sophisticated **academic research and citation analysis** directly within conversations. Built specifically for researchers, academics, and students who need to analyze citation networks, calculate author impact metrics, and discover literature patterns. **Stop switching between VOSviewer, CitNetExplorer, and manual analysis. Start doing academic research in your AI conversations.** ๐ฏ Key Features ๐ฌ Academic Research Tools - **Citation Network Analysis**: Build citation networks from DOIs using CrossRef API - **Author Impact Metrics**: Calculate h-index, total citations, and academic influence - **Literature Discovery**: Automated paper recommendations based on citation patterns - **Collaboration Analysis**: Map co-authorship networks and identify key researchers - **Research Trend Detection**: Analyze publication and citation trends over time ๐ Core Graph Operations - **43 Graph Tools**: From basic operations to advanced algorithms like PageRank - **BibTeX Export**: Export citation networks in academic-standard BibTeX format - **CrossRef Integration**: Access 156+ million academic papers via DOI resolution - **Visualization**: Generate publication-ready network visualizations - **First of Its Kind**: The only academic-focused NetworkX MCP server ๐ Why NetworkX MCP Server for Academic Research? - **Built for Researchers**: Designed specifically for academic workflows and citation analysis - **Real-time Literature Discovery**: Find related papers and collaboration opportunities instantly - **Reproducible Research**: Python-based, version-controlled, and shareable analysis workflows - **Academic Data Integration**: Direct access to CrossRef's 156+ million paper database - **No Enterprise Complexity**: Focus on research, not IT infrastructure - **Cost-Effective**: Free alternative to expensive commercial citation analysis tools ๐ฆ Installation ๐ Quick Start 1. Install the server 2. Configure Claude Desktop Add to your claude_desktop_config.json: **MacOS**: ~/Library/Application Support/Claude/claude_desktop_config.json **Windows**: %APPDATA%\Claude\claude_desktop_config.json 3. Restart Claude Desktop The NetworkX tools will now be available in your conversations! ๐งช Test It Works Ask Claude: "Create a graph called 'test', add nodes 1, 2, 3 with edges between them, then find the shortest path from 1 to 3" ๐ Available Operations ๐ฌ Academic Research Functions - resolve_doi - Resolve DOI to publication metadata using CrossRef API - build_citation_network - Build citation networks from seed DOIs - analyze_author_impact - Calculate h-index and impact metrics for authors - find_collaboration_patterns - Analyze co-authorship networks - detect_research_trends - Identify publication and citation trends over time - recommend_papers - Get paper recommendations based on citation patterns - export_bibtex - Export citation networks in BibTeX format ๐ Core Graph Operations - create_graph - Create directed or undirected graphs - add_nodes / remove_nodes - Add or remove nodes - add_edges / remove_edges - Add or remove edges - get_info - Get basic graph statistics