# A.D.A.M.--AI_Document_analysis_Agent_using_MCP

> A.D.A.M.--AI_Document_analysis_Agent_using_MCP — ae-emmanuel-a-d-a-m-ai-document-analysis-agent-using-mcp. Use this tool when you need to analyze and manage documents using natural language processing and AI capabilities. A.D.A.M. solves problems related to document understanding, organization, and retrieval, accepting document uploads as input and providing processed text and chat outputs. It is ideal for use cases involving complex document analysis, such as research, document summarization, and information extraction.

Canonical page: https://skillsregistry.net/skills/ae-emmanuel-a-d-a-m-ai-document-analysis-agent-using-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ae-emmanuel-a-d-a-m-ai-document-analysis-agent-using-mcp

## Description

A.D.A.M. is an intelligent document assistant that combines the power of Any LLM with the Model Control Protocol (MCP) to provide natural language document analysis and management. Built with Python, it offers a sophisticated command-line interface for uploading, processing, and chatting about your documents using advanced AI capabilities.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/AE-Emmanuel/A.D.A.M.--AI_Document_analysis_Agent_using_MCP)

## 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": "ae-emmanuel-a-d-a-m-ai-document-analysis-agent-using-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ae-emmanuel-a-d-a-m-ai-document-analysis-agent-using-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ae-emmanuel-a-d-a-m-ai-document-analysis-agent-using-mcp/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