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Bright-L01/networkx-mcp-server

Bright-L01/networkx-mcp-server

๐Ÿ ๐Ÿ  - Graph analysis with NetworkX: centrality algorithms, community detection, PageRank and graphโ€ฆ
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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
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
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
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆœๅŠก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository Bright-L01/networkx-mcp-server๏ผ›first catalogued 2026-10-09๏ผ›last seen 2026-10-16ใ€‚There is no official certification or quality rating here โ€” we record sources and dates only.
Third-party quality signals

NetworkX MCP Server

ไปฅไธ‹ๆ‘˜ๅฝ•่‡ช่ฏฅไป“ๅบ“็š„ README๏ผˆ็‰‡ๆฎต๏ผ‰ ยท ๅœจ GitHub ่ฏปๅฎŒๆ•ด README โ†’

**Academic-focused graph analysis in your AI conversations** - The first and only NetworkX MCP server specialized for academic research and citation analysis.
๐ŸŽ“ 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.**
๐ŸŽฏ Key Features
๐Ÿ”ฌ 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
๐Ÿ“Š 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
๐ŸŒŸ 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
๐Ÿ“ฆ Installation
๐Ÿš€ 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!
๐Ÿงช 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"
๐Ÿ“Š Available Operations
๐Ÿ”ฌ 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
๐Ÿ“Š 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
Source
awesome ยท https://github.com/Bright-L01/networkx-mcp-server
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