MCP Server

Give AI agents direct access to .docx files through the Model Context Protocol

The SuperDoc MCP server lets AI agents open, read, edit, and save .docx files. It exposes the same operations as the Document API through the Model Context Protocol — the open standard for connecting AI tools to agents.

Setup

Install once. Your MCP client spawns the server automatically on each conversation.

Claude Code

claude mcp add superdoc -- npx @superdoc-dev/mcp

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "superdoc": {
      "command": "npx",
      "args": ["@superdoc-dev/mcp"]
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "superdoc": {
      "command": "npx",
      "args": ["@superdoc-dev/mcp"]
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "superdoc": {
      "command": "npx",
      "args": ["@superdoc-dev/mcp"]
    }
  }
}

Workflow

Every interaction follows the same pattern: open, read or edit, save, close.

superdoc_open → superdoc_get_content / superdoc_search → intent tools → superdoc_save → superdoc_close

1. superdoc_open loads a .docx file and returns a session_id
2. superdoc_get_content reads the current document and superdoc_search finds stable handles or addresses
3. Intent tools use session_id plus action to edit, format, create, comment, review track changes, or run batched mutations
4. superdoc_save writes changes to disk
5. superdoc_close releases the session

Tools

The MCP server exposes 12 tools total:

• 3 lifecycle tools: superdoc_open, superdoc_save, superdoc_close
• 9 grouped intent tools generated from the SDK catalog

All tools except superdoc_open take a session_id from superdoc_open.

Lifecycle

Tool	Input	Description
superdoc_open	path	Open a .docx file. Returns session_id and file path
superdoc_save	session_id, out?	Save to the original path, or to out if specified
superdoc_close	session_id	Close the session. Unsaved changes are lost

Intent tools

Tool	Actions	Description
superdoc_get_content	text, markdown, html, info	Read document content in different formats
superdoc_search	match	Find text or nodes and return handles or addresses for later edits
superdoc_edit	insert, replace, delete, undo, redo	Perform text edits and history actions
superdoc_format	inline, set_style, set_alignment, set_indentation, set_spacing	Apply inline or paragraph formatting
superdoc_create	paragraph, heading	Create structural block elements
superdoc_list	insert, create, detach, indent, outdent, set_level, set_type	Create and manipulate lists
superdoc_comment	create, update, delete, get, list	Manage comment threads
superdoc_track_changes	list, decide	Review and resolve tracked changes
superdoc_mutations	preview, apply	Execute multi-step atomic edits as a batch

Multi-action tools use an action argument to select the underlying operation. superdoc_search is a single-action tool and does not require action.

Tracked changes

Actions that support tracked edits use the underlying Document API’s changeMode: "tracked" option. Review or resolve tracked edits with superdoc_track_changes.

How it works

The MCP server runs as a local subprocess, communicating over stdio. It manages document sessions in memory — each superdoc_open creates an Editor instance, and all subsequent operations run against that in-memory state until you superdoc_save.

AI Agent (Claude, Cursor, Windsurf)
  │ MCP protocol (stdio)
  ▼
@superdoc-dev/mcp
  │ Document API
  ▼
SuperDoc Editor (in-memory)
  │ export
  ▼
.docx file on disk

Your documents never leave your machine. The server runs locally, reads files from disk, and writes back to disk.

Debugging

Test the server directly with the MCP Inspector:

npx @modelcontextprotocol/inspector -- npx @superdoc-dev/mcp

This opens a browser UI where you can call each tool manually and inspect the raw JSON-RPC messages.

Related

• LLM Tools — build custom LLM integrations with the SDK
• CLI — edit documents from the terminal
• SDKs — typed Node.js and Python wrappers
• Document API — the in-browser API that defines the operation set
• AI Agents — headless mode for server-side AI workflows