Developed Graph Context Analytics with NetworkX integration for the Model Context Protocol within the punkpeye/awesome-mcp-servers repository, focusing on enabling advanced graph-based operations and visualization for data science workflows. Leveraged Python and the NetworkX library to implement thirteen distinct graph operations, supporting scalable analytics and deeper insights within MCP-powered environments. The work expanded the Data Science Tools suite by introducing a dedicated NetworkX MCP Server, enhancing the platform’s ability to process and visualize complex graph data. Maintenance efforts during this period prioritized stability and integration readiness, ensuring the new features could be adopted smoothly in upcoming development cycles.