# mcp-rag-web

> mcp-rag-web — nguyenkhanhtoan-ai-mcp-rag-web. Use this tool when you need to perform semantic search over PDF documents, as it solves problems of information retrieval and document management by utilizing RAG, pgvector, and OpenAI embeddings to provide accurate search results. It takes PDF documents as input and outputs relevant search results, with a web app interface for easy document upload and management. Ideal for use cases where complex document search and organization are required.

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

## Description

MCP server for semantic search over PDF documents using RAG, pgvector, and OpenAI embeddings. Includes a web app for document upload and management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zmgo1up0lh)
- **Repository:** <https://github.com/nguyenkhanhtoan-ai/mcp-rag-web>

## 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-web"
    }
  }
}
```

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