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networkx-mcp-server

Active·★ 16·MIT·Updated 2026-05-25
★ Trending★ API Integration

🕸️ First NetworkX MCP server for graph analysis in AI conversations | Community & Enterprise editions | Graph algorithms • Network analysis • MCP integration

NetworkX MCP Server enables Large Language Models to perform academic research and citation analysis within conversations. It provides tools for citation network analysis, author impact metrics, and literature discovery. Built for researchers, it integrates with CrossRef API.

#ai-tools#algorithms
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$ Install
$ pip install networkx-mcp-server
↗ Visit site★ GitHub
01

Features

01Citation network analysis using CrossRef API
02Author impact metrics (h-index, total citations)
03Literature discovery based on citation patterns
04Collaboration analysis and co-authorship mapping
05Research trend detection over time
02

Compatibility

Claude Desktop (MacOS)
MacOS
Verified via docs
Claude Desktop (Windows)
Windows
Verified via docs
03

Quick start

1
$ pip install networkx-mcp-server
04

Use cases

↳Literature review and meta-analysis by expanding citation networks
↳Collaboration network analysis to identify key researchers
↳Citation pattern analysis to track knowledge diffusion
05

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Comments

Log in to leave a comment
  • H
    Hayden AndersonMay 16, 2026

    First NetworkX MCP server — graph analysis capabilities in AI conversations.

  • R
    River HarrisMay 8, 2026

    Community-built, fills a gap in scientific Python MCP tooling.

  • D
    Dakota ClarkApr 9, 2026

    Natural language graph queries are more accessible than raw NetworkX code.

  • J
    Jesse NguyenMar 1, 2026

    Good for data scientists and researchers who use NetworkX for graph analysis.

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5d ago
StatusActive
LicenseMIT
CategoryDev Tooling
Trend (30d)
+0.6↑ 0.7%
Links
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