# Document MCP Server

> Use this tool when you need to manage and manipulate in-memory documents, providing features to read, edit, and list document contents via the Model Context Protocol. It solves problems related to document management, formatting, and resource access, allowing for efficient document handling. Ideal for use cases requiring dynamic document editing and formatting, such as content creation and data processing, with inputs including document contents and outputs including formatted Markdown documents.

Canonical page: https://skillsregistry.net/skills/mparth14-mcp-anthropic  
JSON: https://api.skillsregistry.net/v1/skills/mparth14-mcp-anthropic

## Description

Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It includes features for formatting documents to Markdown and accessing document-specific resources.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mkon93k0fh)
- **Repository:** <https://github.com/mparth14/MCP-anthropic>

## 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": "mparth14-mcp-anthropic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mparth14-mcp-anthropic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mparth14-mcp-anthropic/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