MCP RAG with ChromaDB

Item: MCP RAG with ChromaDB
Rating: 54
Author: M8ven

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

→ CyprianFusi/MCP-rag-with-Chromadb · 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.

✅

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 1 credential: OPENAI_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.

configEMBEDDING_PROVIDER

🔐 secretOPENAI_API_KEY— 3. Set =sk-your-key-here

configOPENAI_EMBED_MODEL

configOLLAMA_EMBED_MODEL

configOLLAMA_BASE_URL

// 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 6 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/cyprianfusi-mcp-rag-with-chromadb-1l47wk)](https://m8ven.ai/mcp/cyprianfusi-mcp-rag-with-chromadb-1l47wk)

commit: 6ca34ad8d483da07d227f87f7c4f99d6478b222d

code hash: 0633ee27dc6bdbacb388d66c5fa5bc9e0583bc384ae8c18eb990361284639847

verified: 6/17/2026, 12:21:38 PM

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