RAG MCP Gateway

A smart proxy that aggregates multiple downstream MCP servers and enables natural language search for tools, allowing clients like Claude Desktop to discover and use tools through semantic queries.

→ aniliou-85/rag-mcp · listed on glama

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// key findings

⚠️

Known vulnerabilities in dependencies: 1 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

✅

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: GEMINI_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// known CVEs in dependencies1 high1 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.25.3GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

lowuuid@13.0.0GHSA-w5hq-g745-h8pq

uuid: Missing buffer bounds check in v3/v5/v6 when buf is provided

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// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configCONFIG_PATH_OVERRIDE

🔐 secretGEMINI_API_KEY— Required for Enrichment. API Key for Google Generative AI. -

configRAG_MCP_BASE_DIR— Base directory for all relative paths. process.cwd()

configRAG_MCP_CONFIG_PATH— Path to the downstream servers config file. BASE_DIR/config.json

configRAG_MCP_DB_PATH— Path to the Orama persistence folder. BASE_DIR/data/orama_db

configRAG_MCP_EMBEDDING_MODEL— Required if Dense enabled. Transformers.js model for generating vector embeddings. -

configRAG_MCP_ENABLE_DENSE— Enable semantic vector search (Dense retrieval). true

configRAG_MCP_ENABLE_LLM— Enable LLM enrichment (summaries and questions) during indexing. false

configRAG_MCP_ENABLE_RERANKER— Enable the cross-encoder reranking stage. true

configRAG_MCP_ENABLE_SPARSE— Enable full-text keyword search (Sparse retrieval). true

configRAG_MCP_GENERATIVE_MODEL— Required if LLM enabled. Google Gemini model for tool enrichment. -

configRAG_MCP_LOGGING_ENABLED— Set to true to enable debug logging to the log file. false

configRAG_MCP_LOG_PATH— Path to the debug log file. BASE_DIR/rag-mcp.log

configRAG_MCP_REBUILD_INDEX— Set to true to force a full re-index on every startup. false

configRAG_MCP_RERANKING_MODEL— Required if Reranker enabled. Transformers.js model for second-stage reranking. -

configRAG_MCP_SEARCH_THRESHOLD— Minimum relevance score (0.0 to 1.0) for search results. 0.85

// 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/aniliou-85-rag-mcp-1lwb6b)](https://m8ven.ai/mcp/aniliou-85-rag-mcp-1lwb6b)

commit: 0dcf493d10fa763dd9e92fda6b5abbd6d7679298

code hash: 37ae22940e0572c62e40c5dd5f2690a971d6b257a494e24e57c1eae13e44c9bd

verified: 6/22/2026, 12:48:23 PM

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