Skip to main content
Glama
Anhfurev

CorelDRAW Signage MCP

by Anhfurev

CorelDRAW Signage MCP

Let AI drive CorelDRAW directly via the Model Context Protocol — automated design file generation at scale

中文文档

Overview

This project exposes CorelDRAW as an MCP (Model Context Protocol) tool server. An AI Agent connects via COM API to create documents, replace text, manipulate shapes, run preflight checks, and batch-export production files — all from natural language instructions.

Key capabilities

  • Natural language → CorelDRAW operations, no manual repetition

  • Template filling and batch export to PDF / DXF / PNG

  • Streamlit Chat UI for local debugging, or connect any MCP-compatible client (Claude Desktop, OpenCode, etc.)


Related MCP server: Illustrator MCP Vectorizer

Architecture

┌─────────────────────────────────────────────────┐
│              Designer's machine (Windows)        │
│                                                 │
│  ┌──────────────┐      ┌────────────────────┐  │
│  │  AI Agent    │─MCP─▶│   MCP Server       │  │
│  │ (runner.py)  │◀─────│ (FastMCP / HTTP)   │  │
│  │              │      │                    │  │
│  │  Streamlit   │      │  CorelDRAW COM API │  │
│  │  Chat UI     │      │  (pywin32)         │  │
│  └──────────────┘      └────────┬───────────┘  │
│                                 │               │
│                         ┌───────▼──────┐        │
│                         │  CorelDRAW   │        │
│                         │ (local proc) │        │
│                         └──────────────┘        │
└─────────────────────────────────────────────────┘
         │ LLM API calls
         ▼
  Company LiteLLM Proxy (planned)
  or Anthropic / DeepSeek / Qwen direct

Three-layer structure

Layer

Component

Description

Agent

server/agent/runner.py

LLM tool-call loop; supports Claude / DeepSeek / Qwen

MCP tools

server/server.py + server/tools/

81 CorelDRAW tools, HTTP or stdio transport

CorelDRAW

server/core/connection.py

Drives local CorelDRAW via pywin32 COM API

Tool modules

Module

Tools

Functionality

document

7

Open template, create, save, close, page management

shapes

17

Rectangle / ellipse / line drawing, SVG / image import, boolean ops, align/distribute/rotate/scale/group, rename, duplicate (single/batch/multi-shape), lock, flip

text

6

Text replacement, read full content, style (font/size/bold/italic/underline/line-spacing/char-spacing), overflow detection, convert to curves

colors

8

CMYK / RGB / Pantone fill & stroke, RGB compliance check

layers

5

Create, query, assign, show/hide, lock layers

export

7

PDF / DXF / AI / SVG / PNG export, visual preview, batch export

preflight

4

Size check, text overflow, missing fonts, color report

data_merge

3

Excel data read, barcode / QR code generation

vision

1

view_canvas — return a live screenshot of the canvas as an actual image the agent can see

Shape editing tools (rename / resize / duplicate / lock / flip)

Tool

Purpose

set_shape_size

Set a shape's exact width × height (mm)

set_shape_position

Move a shape to an exact x, y

rename_shape

Rename a shape (e.g. box_1room_301)

duplicate_shape

Copy one shape, offset by x/y, optional new name

duplicate_shape_batch

Copy one shape N times in one call, with {name}/{n} name-pattern numbering — e.g. stamp out a row of boxes named box_1box_20

duplicate_shapes

Copy a whole set of shapes together, keeping their relative layout

set_shape_locked

Lock/unlock a shape against accidental edits

flip_shape

Mirror a shape horizontally or vertically

save_document

Save (or Save As) the current document

These cover the "resize a box, name it, duplicate it N times, save" workflow end to end.

Vision — can the agent see the canvas?

Two different kinds of "seeing" are available:

  • Structured (no vision needed): select_shapes(), find_shape_by_name(), and get_document_info() return every shape's name, id, exact position/size, rotation, lock state and layer as plain data — an agent can inspect and reason about the whole canvas without ever looking at a picture.

  • Actual vision: view_canvas(width=1000) takes a live screenshot of the current page and returns it as a real image in the tool result (via FastMCP's Image type, MCP ImageContent) — not a file path. A vision-capable client (Claude Desktop/Code) sees it directly, the same as a pasted screenshot, useful for a final visual sanity check after a batch of edits. This is the one tool in the project that doesn't return ToolResult — see the note in CLAUDE.md/AGENTS.md.


Requirements

  • OS: Windows 10 / 11 (CorelDRAW COM API is Windows-only). Note: CorelDRAW's modern native Mac app (2024+) has no scripting/automation interface at all (no AppleScript dictionary, no equivalent of COM) — verified by inspecting the app bundle for a .sdef file and Info.plist scripting keys, both absent. There is currently no way for this project, or any external tool, to drive CorelDRAW running on macOS.

  • Python: 3.11+, 64-bit (must match CorelDRAW's bitness)

  • CorelDRAW: X6 or later (must be installed and activated; X6 verified compatible)

  • LLM API Key: one of Anthropic Claude, DeepSeek, or Alibaba Qwen


Installation

# 1. Clone the repo
git clone <repo-url>
cd coreldraw-signage-mcp

# 2. Create virtual environment
python -m venv .venv
.venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Configure environment variables
copy .env.example .env
# then fill in a real LLM API key

Minimal .env:

# Pick one LLM provider
ANTHROPIC_API_KEY=sk-ant-xxxxx

# MCP Server transport (stdio or streamable-http)
MCP_TRANSPORT=streamable-http
MCP_HOST=127.0.0.1
MCP_PORT=8765

Usage

# Make sure CorelDRAW is running first, then:
streamlit run server/app.py

Open http://localhost:8501, enter your API key in the sidebar, and control CorelDRAW with natural language.

Note: The Streamlit UI connects to CorelDRAW directly via COM. Do not run server.py at the same time — two simultaneous COM connections can cause conflicts.

Option 2 — Claude Code / OpenCode via project .mcp.json (HTTP)

The repo ships a .mcp.json that Claude Code and OpenCode auto-discover as a project-level MCP config (this is a different mechanism from the literal Claude Desktop app — see Option 2b if that's what you're using):

# Start MCP Server in HTTP mode
cd server
MCP_TRANSPORT=streamable-http python server.py

The Claude Desktop app does not read this repo's .mcp.json — it has its own, separate global config file, and it launches/manages the server process itself over stdio rather than you starting server.py by hand. No LLM API key is needed for this path (Claude Desktop uses your own Claude subscription; the .env API key is only used by the standalone Streamlit chat UI in Option 1).

  1. Edit (create if missing) %APPDATA%\Claude\claude_desktop_config.json:

    {
      "mcpServers": {
        "coreldraw": {
          "command": "C:\\path\\to\\coreldraw-mcp\\.venv\\Scripts\\python.exe",
          "args": ["C:\\path\\to\\coreldraw-mcp\\server\\server.py"]
        }
      }
    }

    Use the full path to the python.exe inside this project's virtualenv (not a bare python), so it runs with the right dependencies installed.

  2. Make sure CorelDRAW is already running.

  3. Fully quit and reopen Claude Desktop. It starts/stops server.py automatically — you should never need to run it manually in this mode.

  4. In a new chat, ask Claude Desktop to do something with CorelDRAW (e.g. "list all shapes on the current page") — it should show the tool call.

Option 3 — stdio mode (for MCP client integration)

cd server
MCP_TRANSPORT=stdio python server.py

Option 4 — Windows runs the server, another machine (e.g. a Mac) runs the client

CorelDRAW's automation API is COM, which only exists on Windows — there is no Mac/Linux equivalent, so the server process itself must run on the Windows box that has CorelDRAW installed. A client on another machine (a MacBook running Claude Desktop/Claude Code, for example) can still drive it, over the network, using the same HTTP transport as Option 2:

  1. On the Windows machine (with CorelDRAW running):

    cd server
    set MCP_HOST=0.0.0.0
    set MCP_TRANSPORT=streamable-http
    python server.py

    0.0.0.0 binds to all network interfaces instead of just localhost. Find this machine's LAN IP with ipconfig (look for the IPv4 Address, e.g. 192.168.1.50). Allow inbound TCP on MCP_PORT (default 8765) through Windows Firewall.

  2. On the client machine, point its MCP config at the Windows box's LAN IP instead of 127.0.0.1. For Claude Desktop/Code, edit .mcp.json:

    {
      "mcpServers": {
        "coreldraw": {
          "type": "http",
          "url": "http://192.168.1.50:8765/mcp"
        }
      }
    }

Security note: this exposes the CorelDRAW automation endpoint to your LAN with no authentication. Only do this on a trusted local network (e.g. behind your home/office router), never expose the port directly to the internet.


Example prompts

Batch room-number signs

  1. Place a CDR template (with text placeholders) in server/templates/

  2. Prepare an Excel sheet (one sign per row)

  3. Type: Batch generate room signs, template: room_template.cdr, data: rooms.xlsx

  4. The agent reads the data, fills the template row by row, runs preflight, and exports PDF + DXF

Single sign, quick output

Create a 300×150 mm room sign, room number 301, department "R&D Center",
background CMYK(0,0,0,80), export print-ready PDF and laser-cut DXF

Directory structure

coreldraw-signage-mcp/
├── server/
│   ├── server.py          # MCP Server entry point
│   ├── app.py             # Streamlit Web UI
│   ├── agent/
│   │   ├── runner.py      # Agent main loop (LLM + tool calls)
│   │   └── prompts.py     # System prompt
│   ├── tools/             # MCP tool implementations (30+ tools)
│   ├── core/              # CorelDRAW COM connection & shared models
│   ├── config/            # Settings & template registry
│   └── templates/         # CDR template files
├── docs/                  # Architecture docs & diagrams
├── CONTRIBUTING.md
├── LICENSE
├── NOTICE
├── requirements.txt
└── pyproject.toml

Development

# Install dev dependencies
pip install -e ".[dev]"

# Lint
ruff check server/

# End-to-end test (requires CorelDRAW running locally)
cd server
python test_e2e.py

Roadmap

Phase

Status

Scope

Phase 1 MVP

✅ Done

MCP Server + 30+ tools + Agent loop + HTTP transport

Phase 2

In progress

LiteLLM Proxy for unified LLM management; migrate agent orchestration to LangGraph

Planned

Architecture drafted

Company dispatch mode: task queue, multi-workstation workers, concurrency lock


Contributing

See CONTRIBUTING.md. Note: the COM API is Windows-only, so end-to-end testing requires a Windows machine with CorelDRAW installed.


License

Apache 2.0 © 2026 深圳市玄熵智能科技有限责任公司 (Xuanshang Intelligent Technology Co., Ltd., Shenzhen)

coreldraw-mcp

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    This MCP server exposes CorelDRAW as a tool server, enabling AI agents to create documents, replace text, manipulate shapes, run preflight checks, and batch-export production files from natural language instructions via COM API.
    16
    -
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables control of an already open CorelDRAW document via MCP, with live editing, atomic undo, and safe coordinate-based operations. Supports Windows-only COM automation and integrates with desktop AI clients like Claude Desktop.
    2
    -