NellyW8/MCP4EDA

Implementation of the paper: MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization
A comprehensive Model Context Protocol (MCP) server that provides Electronic Design Automation (EDA) tools integration for AI assistants like Claude Desktop and Cursor IDE. This server enables AI to perform Verilog synthesis, simulation, ASIC design flows, and waveform analysis through a unified interface.
- **Our Website**
Demo
https://github.com/user-attachments/assets/65d8027e-7366-49b5-8f11-0430c1d1d3d6
*EDA MCP Server demonstration showing Verilog synthesis, simulation, and ASIC design flow*
Features
- **Verilog Synthesis**: Synthesize Verilog code using Yosys for various FPGA targets (generic, ice40, xilinx)
- **Verilog Simulation**: Simulate designs using Icarus Verilog with automated testbench execution
- **Waveform Viewing**: Launch GTKWave for VCD file visualization and signal analysis
- **ASIC Design Flow**: Complete RTL-to-GDSII flow using OpenLane with Docker integration
- **Layout Viewing**: Open GDSII files in KLayout for physical design inspection
- **Report Analysis**: Read and analyze OpenLane reports for PPA metrics and design quality assessment
Prerequisites
Before using this MCP server, you need to install the following EDA tools:
1. Yosys (Verilog Synthesis)
**macOS (Homebrew):**
**Ubuntu/Debian:**
**From Source:**
**Alternative - OSS CAD Suite (Recommended):**
Download the complete toolchain from: https://github.com/YosysHQ/oss-cad-suite-build/releases
2. Icarus Verilog (Simulation)
**macOS (Homebrew):**
**Ubuntu/Debian:**
**Windows:**
Download installer from: https://bleyer.org/icarus/
3. GTKWave (Waveform Viewer)
**Direct Downloads (Recommended):**
- **Windows:** Download from SourceForge
- **macOS:** Download from SourceForge or use Homebrew: brew install --cask gtkwave
- **Linux:** Download from SourceForge or use package manager: sudo apt-get install gtkwave
**Alternative Installation Methods:**
4. Docker Desktop (Recommended for OpenLane)
**Direct Downloads:**
- **Windows:** Download Docker Desktop for Windows
- **macOS:** Download Docker Desktop for Mac or brew install --cask docker
- **Linux:** Download Docker Desktop for Linux
**Installation:**
1. Download and install Docker Desktop from the official website
2. Launch Docker Desktop and ensure it's running
3. Verify installation: docker run hello-world
**Note:** Docker Desktop includes Docker Engine, Docker CLI, and Docker Compose in one package.
5. OpenLane (ASIC Design Flow)
**Simple Installation Method (Recommended):**
**Usage Example:**
json
{
"mcpServers": {
"MCP_DOCKER": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"alpine/socat",
"STDIO",
"TCP:host.docker.internal:8811"
]
}
}
}
json
{
"mcpServers": {
"MCP_DOCKER": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"alpine/socat",
"STDIO",
"TCP:host.docker.internal:8811"
]
},
"eda-mcp": {
"command": "node",
"args": [
"/absolute/path/to/your/eda-mcp-server/build/index.js"
],
"env": {
"PATH": "/usr/local/bin:/opt/homebrew/bin:/usr/bin:/bin",