by Shaurya-Sethi · MCP Server · ★ 103
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Circuitron Note: Circuitron is archived. The project is still usable, but the architecture and dependency model reflect an earlier generation of tooling. See Project status for details. Circuitron is an agent-driven PCB design prototyper that converts natural language requirements into SKiDL scripts, KiCad schematics, and PCB layout files. It integrates a multi-agent pipeline with advanced reasoning and retrieval-augmented capabilities. Features Reasoning-driven workflow – OpenAI Agents coordinate planning, part discovery, code generation, validation, and error correction with transparent chain-of-thought output. Retrieval-Augmented Generation (RAG) – A dedicated MCP (Model Context Protocol) server surfaces relevant SKiDL documentation and examples to the LLM for every design step. Real part selection – Queries KiCad libraries to ensure chosen components exist and match the design specification. Automatic schematic and PCB generation – Produces and files alongside netlists (and SVG images of schematics) for direct use in KiCad. Iterative correction loop – Agents validate generated code, apply fixes, and run ERC checks until a clean design is produced.
| Stars | 103 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.5758105379259/100 |
| Open Issues | 8 |
| Last Updated | 2026-06-06 |
| Created | 2025-06-12 |
| Platforms | mcp, python |
| Est. Tokens | ~1973k |
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circuitron is Circuitron: Agentic PCB Design Accelerator — Generate, plan, and layout circuits from natural language prompts.. It is categorized as a MCP Server with 103 GitHub stars.
circuitron is primarily written in Python. It covers topics such as agentic-ai, circuit-design, kicad.
You can find installation instructions and usage details in the circuitron GitHub repository at github.com/Shaurya-Sethi/circuitron. The project has 103 stars and 21 forks, indicating an active community.
circuitron is released under the MIT license, making it free to use and modify according to the license terms.
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