NetworkX MCP Server
An MCP server, specialized for academic citation analysis, that lets an AI assistant build citation networks from DOIs, calculate author impact metrics such as the h-index, and run graph algorithms like PageRank directly inside a conversation.
NetworkX MCP Server brings graph analysis into an AI conversation for researchers, academics, and students working on citation analysis, rather than requiring separate tools such as VOSviewer or CitNetExplorer. It builds citation networks from DOIs using the CrossRef API, which gives access to over 156 million academic papers, calculates author impact metrics such as h-index and total citations, maps co-authorship networks to identify key collaborators, and surfaces publication and citation trends over time.
Beyond these academic-specific tools, it exposes 43 general graph operations ranging from basic manipulation to algorithms such as PageRank, can export citation networks in the academic-standard BibTeX format, and generates publication-ready network visualizations. It installs as a Python package and is configured as an MCP server inside Claude Desktop or a similar MCP-compatible client.