MCP server for AI-assisted PCB design with KiCad 9.x
MCPpedia last refreshed this data
io.github.bunnyf/kicad-mcp-server is an MCP server that MCP server for AI-assisted PCB design with KiCad 9.x. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 78/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"io-github-bunnyf-kicad-mcp-server": {
"args": [
"kicad-mcp-server"
],
"command": "uvx"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
MCP server for AI-assisted PCB design with KiCad 9.x
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
uvx 'kicad-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked kicad-mcp-server against OSV.dev.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience - it helps other developers decide.
Sign in to write a review.
Others in design
Design tokens from any live site: colours, type, spacing, components, drift against a baseline.
Draw and visually collaborate with your agents on tldraw's canvas.
MeiGen-AI-Design-MCP — Turn Claude Code / OpenClaw into your local Lovart. Local ComfyUI, 1,400+ prompt library, multi-direction parallel generation.
Inspect and edit Three.js scenes, materials, shaders, lights in real time from any AI agent
MCP Security Weekly
Get CVE alerts and security updates for io.github.bunnyf/kicad-mcp-server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers.
📤 Publish my MCP server | ⚡️ Live API docs | 👀 Ecosystem vision | 📖 Full documentation
2025-10-24 update: The Registry API has entered an API freeze (v0.1) 🎉. For the next month or more, the API will remain stable with no breaking changes, allowing integrators to confidently implement support. This freeze applies to v0.1 while development continues on v0. We'll use this period to validate the API in real-world integrations and gather feedback to shape v1 for general availability. Thank you to everyone for your contributions and patience—your involvement has been key to getting us here!
2025-09-08 update: The registry has launched in preview 🎉 (announcement blog post). While the system is now more stable, this is still a preview release and breaking changes or data resets may occur. A general availability (GA) release will follow later. We'd love your feedback in GitHub discussions or in the #registry-dev Discord (joining details here).
Current key maintainers:
We use multiple channels for collaboration - see modelcontextprotocol.io/community/communication.
Often (but not always) ideas flow through this pipeline:
# Start full development environment
make dev-compose
This starts the registry at localhost:8080 with PostgreSQL. The database uses ephemeral storage and is reset each time you restart the containers, ensuring a clean state for development and testing.
Note: The registry uses ko to build container images. The make dev-compose command automatically builds the registry image with ko and loads it into your local Docker daemon before starting the services.
By default, the registry seeds from the production API with a filtered subset of servers (to keep startup fast). This ensures your local environment mirrors production behavior and all seed data passes validation. For offline development you can seed from a file without validation with MCP_REGISTRY_SEED_FROM=data/seed.json MCP_REGISTRY_ENABLE_REGISTRY_VALIDATION=false make dev-compose.
The setup can be configured with environment variables in docker-compose.yml - see .env.example for a reference.
Pre-built Docker images are automatically published