# mcp-rag

> mcp-rag — nguyenkhanhtoan-ai-mcp-rag. Use this tool when you need to perform semantic search over PDF documents, enabling you to find relevant information based on meaning and context. It solves problems of information retrieval and document analysis by indexing and querying PDFs using advanced embeddings and ChromaDB. Ideal for use cases where traditional keyword search is insufficient, such as research, document analysis, and knowledge discovery.

Canonical page: https://skillsregistry.net/skills/nguyenkhanhtoan-ai-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/nguyenkhanhtoan-ai-mcp-rag

## Description

MCP server that enables semantic search over PDF documents using RAG with ChromaDB and OpenAI embeddings.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qkpx0hbo27)
- **Repository:** <https://github.com/nguyenkhanhtoan-ai/mcp-rag>

## 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": "nguyenkhanhtoan-ai-mcp-rag"
    }
  }
}
```

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

---
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