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3 days ago
glama

Football Knowledge Graph RAG MCP Server

Enables natural language querying of a football knowledge graph via Neo4j, generating Cypher queries and answers using LLMs, and also provides tools to build the graph from text.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 2 credentials: NEO4J_PASSWORD, OPENROUTER_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configNEO4J_URIneo4j://127.0.0.1:7687
configNEO4J_USER
🔐 secretNEO4J_PASSWORDyour_password
🔐 secretOPENROUTER_API_KEYyour_api_key
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/fachreza28-football-knowledge-graph-rag-1ufokr)](https://m8ven.ai/mcp/fachreza28-football-knowledge-graph-rag-1ufokr)
commit: 3880e8ea3e67f3de94a3fa9f0d9dbc0c324b1e3a
code hash: 6fb5841b43b1503eb7daf94824d746b3fbeea2f18ac98c3ed9dcd5dcbcb2c8f2
verified: 6/21/2026, 10:12:19 AM
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