neo4j-contrib/gds-agent
3.5
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This document provides a comprehensive overview of a Model Context Protocol (MCP) server equipped with Neo4j Graph Data Science (GDS) tools for graph analysis.
Tools
Functions exposed to the LLM to take actions
Node operations
Count nodes, get node properties
Centrality algorithms
PageRank, degree centrality, betweenness centrality, closeness centrality, eigenvector centrality, harmonic centrality, ArticleRank, HITS
Path algorithms
Find shortest paths between nodes
Graph structure
Find articulation points, bridges
Influence maximization
CELF algorithm
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client