{"repo":"neo4j-contrib/gds-agent","free":true,"listed":false,"github":"https://github.com/neo4j-contrib/gds-agent","clone":"git clone https://github.com/neo4j-contrib/gds-agent.git","description":"Neo4j Graph Data Scientist Agent (MCP Server & Skills)","language":"Python","stars":96,"topics":[],"license":"MIT","category":"ai-agents","readme_excerpt":"GDS Agent The GDS Agent let LLMs reason and do data science work on your graph data in Neo4j, by using two artifacts: - Tools — an MCP server exposing Neo4j Graph Data Science (GDS) algorithms: centrality, community detection, path finding, similarity, node embeddings, and ML pipelines. - Skills — an agent skill ( neo4j-graph-data-scientist ) teaching the agent how and when to use those tools and best practices for doing data science on graphs. It works with any MCP-capable harness — Claude Code, Claude Desktop, claude.ai, OpenAI Codex, Cursor, VS Code/Copilot, Gemini CLI — and programmatically from agent frameworks. It uses the GDS plugin on self-managed Neo4j and GDS Aura Graph Analytics sessions on AuraDB, over STDIO or HTTP transport. Once set up, you can ask any graph question about your Neo4j graph and get answers. You can collaborate with the agent as a graph data scientist to solve complex tasks. Install Harness Tools (MCP) Skill Guide --------------------- ------------------------------------------------------------------------------------------------------- --------------------------------------------------- ------------------------------------ Claude Code /plugin marketplace add neo4j-contrib/gds-agent → /plugin install gds-agent@neo4j-gds bundled with the plugin setup Claude Desktop download the .mcpb from releases, double-click upload the skill zip in Settings → Skills setup OpenAI Codex codex mcp add neo4j-gds -- uvx gds-agent npx skills add neo4j-contrib/gds-ag","default_branch":null,"files":null,"tree":[],"storefront":"/r/neo4j-contrib","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/neo4j-contrib/gds-agent/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}