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23 days ago
glama

Lucid Lineage GraphRAG MCP

Exposes six Neo4j graph tools for tracing data lineage, checking compliance boundaries, and managing audit findings in a simulated infrastructure sandbox.

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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.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: NEO4J_PASSWORD, GOOGLE_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+s://<your-db-id>.databases.neo4j.io
configNEO4J_USER
🔐 secretNEO4J_PASSWORDyour-password>
🔐 secretGOOGLE_API_KEY.env — Secrets/config: Neo4j credentials, , PROJECT_ID (gitignored).
configLLM_PROVIDER
configOPENAI_MODEL
configGOOGLE_MODEL
// 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 5 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/raul-villar-ai-lucid-lineage-graphrag-mcp-3zwodm)](https://m8ven.ai/mcp/raul-villar-ai-lucid-lineage-graphrag-mcp-3zwodm)
commit: 171dffe4fa8ce6f79a1d23be5e2938a3d1ebd9a3
code hash: 8721ba2b99e09fd798eb01c41ae0349ec3019af4ec1827e25c5f23e401f0e6e1
verified: 7/8/2026, 8:47:15 AM
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