43
grade D
5 days ago
glama

MCP RAG with ChromaDB

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.

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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.
// 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 1 concrete improvement 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: 4/18/2026, 6:31:23 PM
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