# Groq MCP Document Assistant

> Groq MCP Document Assistant — adarsh152004-mcp-pdf. Use this tool when you need to analyze and manage documents efficiently, and solve problems such as information overload and formatting inconsistencies. It takes in documents and user input, and outputs professionally formatted text and relevant research information. Ideal for use in research, writing, and document-intensive tasks where AI-driven assistance and long-term memory are beneficial.

Canonical page: https://skillsregistry.net/skills/adarsh152004-mcp-pdf  
JSON: https://api.skillsregistry.net/v1/skills/adarsh152004-mcp-pdf

## Description

A persistent document management and research assistant powered by Groq, enabling AI-driven document analysis, professional formatting, and long-term memory across sessions.

## 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:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yw5dqkfmv2)
- **Repository:** <https://github.com/Adarsh152004/MCP-Pdf>

## 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": "adarsh152004-mcp-pdf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adarsh152004-mcp-pdf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adarsh152004-mcp-pdf/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