# Document Q&A MCP Server

> Use this tool when you need to accurately answer questions based on specific document content, such as PDF, TXT, and Markdown files, and require a reliable interface for management. It solves problems related to information retrieval and question answering by providing hallucination-free responses through semantic search. The tool takes in document files and questions as inputs and outputs relevant answers, making it ideal for use cases where precise document-based information is crucial.

Canonical page: https://skillsregistry.net/skills/sy-mr-coder-mcpdocumentchat-main  
JSON: https://api.skillsregistry.net/v1/skills/sy-mr-coder-mcpdocumentchat-main

## Description

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x9i3igfyx9)
- **Repository:** <https://github.com/SY-MR-CODER/MCPDocumentChat-main>

## 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": "sy-mr-coder-mcpdocumentchat-main"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sy-mr-coder-mcpdocumentchat-main` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sy-mr-coder-mcpdocumentchat-main/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