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First public release of the Gephi AI toolkit — extending Gephi with AI capabilities through the Model Context Protocol (MCP). What's Included Gephi MCP Plugin (gephi-mcp-plugin/) Java NetBeans module that installs into Gephi Desktop 0.10.1+ HTTP API server on 127.0.0.1:8080 with 60+ endpoints Graph manipulation, statistics, layout, styling, filtering, import/export, and preview configuration MCP Server (mcp-server/) Python MCP server exposing 67 tools for AI assistants Compatible with Claude Desktop, Claude Code, and any MCP-compatible client Built with FastMCP, httpx, and Pydantic Claude Skills (.claude/skills/) Skill definitions and reference guides for network analysis workflows Layout algorithm guide, statistics guide, and complete tool reference Supported Workflows Community detection (modularity → layout → color by partition) Centrality analysis (betweenness, PageRank → visualization) Graph construction and import (GEXF, GraphML, CSV) Export to PNG, PDF, SVG, GEXF, GraphML, CSV Requirements Gephi Desktop 0.10.1+ Python 3.10+ Java 11+ Status This is an alpha release — the plugin architecture and MCP server are functional but still under active development. The HTTP server startup within Gephi may require additional debugging on some systems. Feedback and issue reports welcome.