# mcp-document-assistant

> mcp-document-assistant — samamasaleem-mcp-document-assistant. Use this tool when you need to manage document workflows efficiently, as it enables listing, reading, and editing documents through natural language inputs, solving problems related to document organization and automation. It takes in natural language prompts and outputs edited or generated documents, providing a user-friendly interface for local AI document management. Ideal for use cases where document workflow automation and natural language processing are required.

Canonical page: https://skillsregistry.net/skills/samamasaleem-mcp-document-assistant  
JSON: https://api.skillsregistry.net/v1/skills/samamasaleem-mcp-document-assistant

## Description

A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.

## 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:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pkex9k6fo4)
- **Repository:** <https://github.com/SamamaSaleem/mcp-document-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": "samamasaleem-mcp-document-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samamasaleem-mcp-document-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samamasaleem-mcp-document-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