"KiCad MCP (Model Context Protocol) integration" matching MCP servers:

Enables MCP-compatible assistants to inspect and edit the open PCB in KiCad, including reading board info, footprints, nets, tracks, selection, and BOM data, as well as moving footprints, adding tracks and text, updating BOM fields, and saving the board.

MCP servers for KiCad schematic, PCB, symbol, footprint, and project automation, enabling AI-assisted electronic design via tools for read/write, analysis, and exports.

MCP server that analyzes, reviews, and exports KiCad 9 designs, with live board editing via IPC and a built-in design-review engine.

Enables creating and editing KiCad projects through natural language, including scaffolding projects, placing schematic symbols, wires and labels, and adding PCB footprints, tracks and nets. It also runs ERC/DRC checks and exports to PDF, SVG, netlist, BOM, STEP, DXF, gerbers and drill files via kicad-cli.

Enables coding agents to query KiCad project data (components, nets, measurements, DRC/ERC, BOM, renders) and edit open boards live via KiCad's IPC API.

Provides schematic/PCB analysis, authoring, and SPICE simulation through MCP, enabling direct KiCad file manipulation and verification without requiring KiCad for reading.

MCP server exposing KiCad PCB Editor functionality via IPC API.

Enables natural language control of KiCad PCB design software through Claude Desktop, automating project creation, design rule checks, component management, export, and cost estimation.

Enables natural language interaction with KiCad projects, schematics, and PCBs, supporting project management, design rule checking, netlist extraction, and datasheet RAG search.

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 MCP clients such as Claude Code to work on KiCad 10 designs by driving kicad-cli for ERC, DRC, netlists and fabrication exports, KiCad's IPC API for live board editing, and lossless edits of schematic and project files. It also provides design review, routing, parts and datasheet tooling so a board can be treated as data and checked against fab limits.

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.

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.

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 trusted local AI agents to create, inspect, edit, save, reopen, and export isolated headless KiCad 9 PCB board files, including native design-rule-check reports, through typed MCP tools. Operations are bounded to native pcbnew and kicad-cli calls within a single explicit trusted workspace, with no arbitrary script execution, live PCB Editor control, or IPC access.

Enables AI assistants to interact with KiCAD for PCB design automation, including schematic and PCB project state access, component placement, routing, and exports through standardized tools and resources.

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.

Enables AI agents to programmatically create, inspect, edit, validate, and headlessly render traditional 2D hand-drawn animation projects, including frames, layers, audio, camera keyframes, spritesheets, and video or GIF exports.

Enables AI agents to create and edit real KiCad schematics and projects, run ERC/DRC validation, generate BOMs, and produce schematic/PCB/3D renders via kicad-cli, with SKiDL support and automatic backups.

Open-source MCP server for Autodesk Revit 2022 to 2027: read, audit and edit live models with 89 tools, one Undo entry per change, and a workstation read-only lock.

Enables an AI assistant to open 3D model files (STL, 3MF, Bambu Studio and OrcaSlicer projects) in a local browser viewer where the user clicks exact spots to leave feedback. Each note comes back with the part name, millimetre coordinates, surface direction and a numbered screenshot, so the assistant can revise the design and show the new version.

Enables AI coding clients to turn Lanhu design drafts into implementation context, including HTML/CSS or Tailwind output, sliced asset mappings, design tokens, preview images, and downstream implementation guidance.

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.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

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.

A read-only MCP server that extracts actual Figma prototype flows, transitions, and per-screen interactions so agents can see navigational behavior rather than infer it. It reports explicit source and destination IDs with warnings for unresolved or ambiguous destinations, without guessing or writing back to Figma.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

Enables users to generate rigged, game-ready gun models in Blender from parameterized presets or platforms, including attachments, animation clips, fact sheets, and reference-photo validation.

Integrates PTC Windchill and Creo Parametric with LLM-based clients via the Model Context Protocol, enabling natural language interaction with PLM and CAD systems for tasks like part search, BOM retrieval, model operations, and exports.

Controls a running KiCad 9+ instance via the official IPC API, enabling board edits, queries, and exports without reload.

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Enables AI apps to design real, orderable KiCad boards end to end: schematic capture, LCSC/JLCPCB part search and import, PCB placement and routing, ERC/DRC checking, renders, and JLCPCB-ready Gerber, drill, BOM, and placement files.

Applies Jungian shadow complement to unified composition parameters, creating psychological depth through systematic visual opposition after multi-domain blending.

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.