drawdb-mcp
DrawDB + MCP server
drawDB + MCP Server
This fork of DrawDB extends the original with AI assistant integration via Model Context Protocol (MCP). AI assistants like Claude can now create, modify, and manage database diagrams programmatically through a WebSocket API.
Demo Video
Watch how to design database schemas using natural language with Claude AI.
Architecture:
- apps/gui: Original React-based DrawDB frontend
- apps/backend: NestJS MCP server that enables AI assistants to control the diagram editor
- Built with Turborepo and pnpm workspaces
Getting Started
Quick Start with Docker (Recommended)
The easiest way to get started is using Docker:
docker run \
--name drawdb-mcp \
-p 8080:80 \
-p 3000:3000 \
--restart unless-stopped \
ghcr.io/anatoly314/drawdb-mcp:latest
Then:
- Open GUI: http://localhost:8080
- Connect Claude Code to the MCP server:
claude mcp add --transport http drawdb-mcp http://127.0.0.1:3000
Now Claude can create and modify database diagrams for you!
See GHCR_DEPLOYMENT.md for available tags and advanced usage.
Local Development
Prerequisites
- Node.js 20+
- pnpm 8.15.0+ (install via
npm install -g pnpm)
Start both GUI and backend:
git clone https://github.com/anatoly314/drawdb-mcp
cd drawdb-mcp
pnpm install
pnpm dev
Start GUI only:
pnpm gui:dev
# Access at http://localhost:5173
Start backend only:
pnpm backend:dev
# WebSocket at ws://localhost:3000/remote-control
Build
Build both applications:
pnpm install
pnpm build
Build specific app:
pnpm build --filter=gui
pnpm build --filter=backend
Connect Claude Code to MCP Server
When running locally, connect Claude Code:
claude mcp add --transport http drawdb-mcp http://127.0.0.1:3000
The frontend automatically connects to the backend via WebSocket for real-time updates.
Docker Deployment
See DOCKER_BUILD.md for detailed build instructions.
Build with Docker Compose:
docker-compose up --build
# Access at http://localhost:8080
Or build directly:
docker build -t drawdb-mcp:local .
docker run -p 8080:80 -p 3000:3000 drawdb-mcp:local
The Docker image includes both frontend and backend. WebSocket is proxied through Nginx.
Updating to New Versions
When updating to a new version (whether via Docker or local development), you must perform a hard refresh in your browser to clear the cached frontend JavaScript:
- Windows/Linux:
Ctrl + Shift + RorCtrl + F5 - macOS:
Cmd + Shift + R
Without a hard refresh, the browser may continue using the old cached frontend code even though the backend has been updated, which can cause errors or unexpected behavior.
Features
Export & Import
The MCP server provides tools for exporting and importing database diagrams in multiple formats:
Export Formats:
- SQL DDL: Export database-specific SQL statements (PostgreSQL, MySQL, SQLite, MariaDB, MSSQL, Oracle)
- DBML: Export to Database Markup Language (human-readable, database-agnostic format)
- JSON: Export complete diagram state for backup/restore
Import Formats:
- DBML: Import database schemas from DBML format
- JSON: Import complete diagram state
Available MCP Tools:
export_sql- Export diagram as SQL DDL for current database typeexport_dbml- Export diagram as DBMLimport_dbml- Import database schema from DBMLexport_diagram- Export complete diagram as JSONimport_diagram- Import complete diagram from JSON
See CLAUDE.md for complete list of available MCP tools and their usage.
Servidores relacionados
Scout Monitoring MCP
patrocinadorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
CodeRabbit
Integrate with CodeRabbit AI for automated code reviews, pull request analysis, and report generation.
DocC MCP
Exposes Apple DocC documentation archives to AI agents, enabling real-time access to Swift documentation.
Tripo MCP Server
Generate 3D models with Tripo AI. Requires the external Tripo AI Blender Addon.
FastAPI with MCP
A FastAPI application demonstrating MCP integration for mathematical operations and tool registration.
Mastra/mcp
Client implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.
Jinni
A tool to provide Large Language Models with project context by intelligently filtering and concatenating relevant files.
GitHub Workflow Debugger MCP
Diagnose and fix GitHub Actions workflow failures using the GitHub API.
Detrix
Agentic debugger
Guardian MCP
Engineering discipline and persistent memory for AI coding assistants
AbletonMCP
Control Ableton Live with AI prompts for music production, track creation, and session manipulation.
