# MCP RAG with ChromaDB

> Use this tool when you need to perform semantic search and retrieval on various document formats, such as local files, directories, and URLs, and generate text based on the retrieved information. It solves problems related to information retrieval, document analysis, and text generation by providing a persistent vector store and supporting OpenAI or Ollama embeddings. The tool takes in document formats and outputs relevant information and generated text through a retrieval-augmented generation (RAG) interface.

Canonical page: https://skillsregistry.net/skills/cyprianfusi-mcp-rag-with-chromadb  
JSON: https://api.skillsregistry.net/v1/skills/cyprianfusi-mcp-rag-with-chromadb

## Description

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.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ddzcya2i7p)
- **Repository:** <https://github.com/CyprianFusi/MCP-rag-with-Chromadb>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cyprianfusi-mcp-rag-with-chromadb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cyprianfusi-mcp-rag-with-chromadb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cyprianfusi-mcp-rag-with-chromadb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt