MCP servers for KiCad schematic, PCB, symbol, footprint, and project automation, enabling AI-assisted electronic design via tools for read/write, analysis, and exports.
Provides schematic/PCB analysis, authoring, and SPICE simulation through MCP, enabling direct KiCad file manipulation and verification without requiring KiCad for reading.
KiCad MCP Pro is an MCP server for KiCad EDA workflows. It lets AI agents automate schematic and PCB tasks, ERC/DRC validation, DFM review, and manufacturing export.
Enables natural language control of KiCad PCB design software through Claude Desktop, automating project creation, design rule checks, component management, export, and cost estimation.
An MCP server that enables language models to design real KiCad electronic schematics from plain-language descriptions, placing parts, wiring nets, and running KiCad's electrical rules check to produce editable .kicad_sch files.
Enables AI assistants to interact with KiCAD for PCB design automation, including schematic editing, component placement, routing, DRC/ERC, and export.
Enables LLMs to inspect, edit, analyze, and render PCB layouts in real-time using the KiCad IPC API, providing tools for board configuration, footprints, tracks, zones, nets, text, shapes, dimensions, exports, screenshots, and CLI automation.
An MCP server for controlling KiCad EDA software, enabling schematics, PCB design, manufacturing outputs, design checks, and library management through any MCP-compatible AI assistant.
Enables AI assistants to interact with KiCAD for PCB design automation. Users can design PCBs using natural language, including component placement, routing, checks, and export.
Enables AI assistants like Claude to interact with KiCAD for PCB design automation, providing comprehensive tool schemas and real-time project state access.
MCP server for KiCad 10 that enables AI assistants to inspect and control schematics and PCB layouts in real-time using the official kipy Python bindings.
A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.
Open, secure runtime that puts Revit, Rhino, Navisworks, and Power BI behind one MCP call center, enabling an AI agent to orchestrate them directly instead of manually dumping data between disconnected apps.
Loads your project's Tailwind CSS config and exposes tools for AI agents to query actual design tokens and validate class names, preventing hallucination of non-existent utilities.