# MCP-Powered-PDF-Retrieval-Augmented-Generation-Assistant

> MCP-Powered-PDF-Retrieval-Augmented-Generation-Assistant — pavansomisetty21-mcp-powered-pdf-retrieval-augmented-generation-assistant. Use this tool when you need to generate text based on relevant information retrieved from a large corpus of PDF documents. It solves problems related to information retrieval and text generation by providing accurate and context-specific responses. The tool takes in user queries as input and outputs generated text, making it ideal for use cases that require augmenting text generation with relevant document retrieval.

Canonical page: https://skillsregistry.net/skills/pavansomisetty21-mcp-powered-pdf-retrieval-augmented-generation-assistant  
JSON: https://api.skillsregistry.net/v1/skills/pavansomisetty21-mcp-powered-pdf-retrieval-augmented-generation-assistant

## Description

In this we implemented RAG Architecture using MCP

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Pavansomisetty21/MCP-Powered-PDF-Retrieval-Augmented-Generation-Assistant)

## 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": "pavansomisetty21-mcp-powered-pdf-retrieval-augmented-generation-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pavansomisetty21-mcp-powered-pdf-retrieval-augmented-generation-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pavansomisetty21-mcp-powered-pdf-retrieval-augmented-generation-assistant/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