KiCAD MCP is an implementation of the Model Context Protocol that facilitates natural language control of KiCAD PCB and schematic design through AI models, streamlining PCB development workflows.
Added on:
Created by:
Apr 27 2025
KiCAD MCP is an implementation of the Model Context Protocol that facilitates natural language control of KiCAD PCB and schematic design through AI models, streamlining PCB development workflows.
Added on:
Created by:
Apr 27 2025
mixelpixx
Featured
What is KiCAD MCP?
KiCAD MCP allows large language models such as Claude to communicate with KiCAD for designing printed circuit boards and schematics via natural language commands. It provides comprehensive tools for creating projects, schematics, and boards, placing components, routing traces, and exporting files in various formats. The system architecture includes a TypeScript MCP server that manages communications and a Python interface that performs actual KiCAD operations, organized into modular components for maintainability. This setup enables AI-driven PCB design, significantly reducing manual effort and increasing productivity by supporting tasks like schematic creation, component placement, routing, and design rule checks through plain English requests.
Who will use KiCAD MCP?
- Electrical engineers
- PCB designers
- Embedded system developers
- Prototyping engineers
- Academic researchers in electronics
How to use the KiCAD MCP?
- Step 1: Install KiCAD 9.0 and required dependencies
- Step 2: Clone the KiCAD MCP repository and build the project
- Step 3: Configure the Cline extension in VSCode with system paths
- Step 4: Launch VSCode, start a conversation with Claude, and request PCB or schematic tasks
- Step 5: Use natural language commands to create projects, add components, route traces, and export outputs
KiCAD MCP's Core Features & Benefits
The Core Features
- Create and manage KiCAD projects and schematics
- Add and connect electronic components
- Route PCB traces and manage nets
- Set design rules and perform DRC
- Export Gerber, PDF, SVG, and 3D models
The Benefits
- Leverages AI to simplify complex PCB design workflows
- Reduces manual tasks with natural language commands
- Enables fast prototyping and iteration
- Supports detailed project management and customization
- Integrates seamlessly with KiCAD and AI tools
KiCAD MCP's Main Use Cases & Applications
- Automated PCB schematic and layout generation from textual descriptions
- Rapid prototyping for electronic circuits using AI commands
- Research projects requiring consistent PCB design workflows
- Educational tools for teaching PCB design and automation
- Industrial automation for PCB manufacturing preparation
FAQs of KiCAD MCP
Developer
- mixelpixx
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Knowledge And Memory
A Next.js-based chat interface connecting to MCP servers with tool-calling and styled UI.
A Spring Boot-based MCP client demonstrating how to handle chat requests and responses in a robust application.
Spring Boot app providing REST API for AI inference and knowledge base management with language model integration.
A server that executes AppleScript commands, providing full control over macOS automations remotely.
An MCP server for managing notes with features like viewing, adding, deleting, and searching notes in Claude Desktop.
Fetches latest knowledge from deepwiki.com, converts pages to Markdown, and provides structured or single document outputs.
A client library enabling SSE-based real-time interaction with Notion MCP servers through a local setup.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
A straightforward client for managing and building MCP (Model Context Protocol) communications efficiently.
A server that queries Solana transactions via natural language using the Solscan API, simplifying blockchain interactions.