69
/ 100
19 days ago
glama

rag-mcp-server

Enables hybrid vector and keyword search over Azure AI Search indexes via an MCP tool, supporting query with embedding generation.

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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: AZURE_SEARCH_API_KEY, AZURE_EMBEDDING_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.
configAZURE_SEARCH_ENDPOINTAzure AI Search service endpoint
configAZURE_SEARCH_INDEX_NAMEName of the search index to query
🔐 secretAZURE_SEARCH_API_KEYAzure AI Search admin or query key
configAZURE_OPENAI_ENDPOINTAzure OpenAI resource endpoint
🔐 secretAZURE_EMBEDDING_API_KEYAPI key for the embedding deployment
configAZURE_OPENAI_EMBEDDING_DEPLOYMENTEmbedding model deployment 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 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/hizafa-nadeem-rag-mcp-server-15a9z0)](https://m8ven.ai/mcp/hizafa-nadeem-rag-mcp-server-15a9z0)
commit: 9b2f0105c116ae9d0dc4db9f0bbf2a253cbfd609
code hash: 342a1d7be1405e55dfb068ccda3cd73447e599a4b3b1c39968c1d8e2bb426c99
verified: 7/12/2026, 8:34:25 AM
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