# PDF Knowledge Base

> Use this tool when you need to semantically search and extract insights from multiple PDF documents. It solves the problem of manually searching through large collections of PDFs by providing intelligent querying capabilities through vector storage and the Model Context Protocol. The tool accepts PDF uploads as input and outputs relevant search results, making it ideal for researchers, analysts, and developers working with AI assistants.

Canonical page: https://skillsregistry.net/skills/hyson666-pdf-rag  
JSON: https://api.skillsregistry.net/v1/skills/hyson666-pdf-rag

## Description

PDF RAG MCP Server is a knowledge base system that enables semantic search across PDF documents through vector storage and the Model Context Protocol. Built with FastAPI and React, it allows users to upload PDFs through a modern web interface where documents are automatically processed, chunked, and vectorized for intelligent querying. The system features real-time processing status updates via WebSockets, integration with AI tools like Cursor through MCP, and a responsive frontend built with Chakra UI. This implementation is particularly valuable for researchers, analysts, and developers who need to extract insights from multiple PDF documents without switching context from their AI assistant.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-18

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hyson666-pdf-rag)
- **Repository:** <https://github.com/hyson666/pdf-rag-mcp-server>

## 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": "hyson666-pdf-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyson666-pdf-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyson666-pdf-rag/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
