MCP RAG Agent

Item: MCP RAG Agent
Rating: 69
Author: M8ven

A local-first AI backend that combines Model Context Protocol, Retrieval-Augmented Generation, and an agent runtime to answer questions from a private knowledge base.

→ elandy/mcp-ai-backend · listed on glama

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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.

// required environment variables

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

configCLIENT_LLM_PROVIDER— ollama OLLAMA_CHAT_MODEL=llama3.1 RAG_EMBEDDING_PROVIDER=ollama OLLAMA_EMBEDDING_MODEL=nomic-embed-text

configOLLAMA_CHAT_MODEL— CLIENT_LLM_PROVIDER=ollama =llama3.1 RAG_EMBEDDING_PROVIDER=ollama OLLAMA_EMBEDDING_MODEL=nomic-embed-text

configOLLAMA_HOST

configAWS_REGION— CLIENT_LLM_PROVIDER=bedrock BEDROCK_CHAT_MODEL=anthropic.claude-3-5-sonnet-20240620-v1:0 =us-east-1

configAGENT_MAX_STEPS

configRAG_CHUNK_SIZE

configRAG_CHUNK_OVERLAP

configRAG_EMBEDDING_PROVIDER— CLIENT_LLM_PROVIDER=ollama OLLAMA_CHAT_MODEL=llama3.1 =ollama OLLAMA_EMBEDDING_MODEL=nomic-embed-text

configRAG_COLLECTION_NAME

configCHROMA_PATH

configRAG_RETRIEVAL_TOP_K

configRAG_RERANK_TOP_N

// 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/elandy-mcp-ai-backend-zz3lmh)](https://m8ven.ai/mcp/elandy-mcp-ai-backend-zz3lmh)

commit: 8e8380bfa2845065d7fc8a988e90f4fb3e7e657a

code hash: e486ea8da7e056541263d3a16cbe99fad2286e907e35602516d02a67b0cc5ac3

verified: 7/29/2026, 9:01:22 AM

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