Which integrations are available for this server?

Provides tools to automate CorelDRAW operations including document creation, shape manipulation, text replacement, color management, layer control, export to PDF/DXF/PNG, and preflight checks via the CorelDRAW COM API.

How do I use CorelDRAW Signage MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CorelDRAW Signage MCP Create a 300x150mm room sign for Room 301, export as PDF." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

CorelDRAW Signage MCP

by wuguirongsg

Overview Schema Related Servers Score Discussions

Python

Local

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.)

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/`	30+ 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`	11	Rectangle / ellipse / line drawing, SVG / image import, boolean ops
`text`	5	Text replacement, style, 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

Requirements

OS: Windows 10 / 11 (CorelDRAW COM API is Windows-only)
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

Option 1 — Streamlit Chat UI (recommended for quick start)

# 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 Desktop / OpenCode via MCP HTTP

The repo ships a .mcp.json that Claude Desktop and OpenCode auto-discover:

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

Option 3 — stdio mode (for MCP client integration)

cd server
MCP_TRANSPORT=stdio python server.py

Example prompts

Batch room-number signs

Place a CDR template (with text placeholders) in server/templates/
Prepare an Excel sheet (one sign per row)
Type: Batch generate room signs, template: room_template.cdr, data: rooms.xlsx
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

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)

Resources

GitHub Repository

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