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Query football knowledge graphs naturally and build searchable graphs from text.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Football Knowledge Graph RAG MCP Server" yet — see the docs or source repo.
Query the football knowledge graph: Which clubs has Messi played for? List them in chronological order and include the relevant seasons.
A graph-backed club timeline with a clear natural-language answer.
Parse this Premier League match report into a football knowledge graph, extract entities and relations such as teams, players, matches, goals, and timestamps, and write them to Neo4j.
Structured graph ingestion results showing extracted entities, relations, and write status.
Help me answer: Over the last three seasons, which team has the most wins against Manchester City? Generate the Cypher first, then provide the final conclusion.
An executable Cypher query and a concise conclusion based on the results.
Ingest documents into Neo4j to build and query a knowledge graph.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.
Build and query vector knowledge graphs with semantic search and graph management.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.
Access comprehensive football match, team, and player data for analysis and integrations.
Build and explore AI-enriched knowledge graphs from documents and code.