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9 days ago
glama

Redis Graph MCP Server

Enables LLMs and AI agents to query a biomedical knowledge graph stored in RedisGraph, with tools for concept search, synonym enrichment, and study variable discovery through semantic relationships.

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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 1 credential: REDIS_PASSWORD
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.
configMCP_SERVER_URLSSE endpoint of the MCP server (e.g. http://redis-mcp-server:8000/sse)
configVLLM_URLyour_vllm_endpoint>/v1 \
configMODELmodel_name> \
configMAX_TOOL_TURNSMax tool call iterations per query (default: 5)
configREDIS_HOSTlocalhost \
configREDIS_PORTRedis port
🔐 secretREDIS_PASSWORDpassword> \
configREDIS_GRAPH_NAMEgraph_name> \
// 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 4 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/yskale-redis-mcp-server-1hvajm)](https://m8ven.ai/mcp/yskale-redis-mcp-server-1hvajm)
commit: 1cc106ff286518a4ffa334e4e42329f68777a7c2
code hash: 03ea21f63210a4c5e764383e6adecd3075f9165a10eb70cb3ddab9767416e1ca
verified: 6/21/2026, 10:10:20 AM
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