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

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

A production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.

A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.

A read-only MCP server for AI agents to understand KiCad projects through progressive disclosure, providing compact summaries and drill-down tools for components, nets, traces, and ERC/DRC checks without blowing context budgets.

Enables AI agents to compose MCP tool calls into Unix-style pipelines, executing complex workflows server-side and returning only the final result.

Automates PCB design from idea to fabrication: sources JLCPCB parts, fetches pin maps from EasyEDA, places and wires footprints in KiCad, and hands off to EasyEDA for auto-routing and ordering — all via Claude Code.

MCP server for KiCad 10 that provides live PCB access, file-based schematic handling, symbol search, schematic generation from pinouts, and a Python scripting escape hatch.

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.

A Model Context Protocol server that enables interaction with KiCad electronic design projects, allowing users to list projects, analyze PCB designs, run design rule checks, and visualize PCB layouts through natural language.

Enables LLM agents to operate on KiCad by reading compressed schematics (TOON format), executing atomic tools, and updating context via delta and local area.

MCP server exposing KiCad PCB Editor functionality via IPC API.

KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.

An MCP server that gives AI agents end-to-end control of KiCad 9+ for rule checks, manufacturing exports, production-readiness certification, and live PCB editor control.

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

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

KiCad Workbench is an MCP server that lets an AI agent work with KiCad projects. The agent reads schematics, boards and libraries, runs the checks of KiCad, makes the bill of materials (BOM), and writes changes to the schematic. It supports KiCad 8, 9 and 10.

A server that implements the Model Context Protocol for Schwab API, allowing access to account information, positions, stock quotes, and order/transaction history designed for integration with Large Language Models.

A demonstration server for the Model Context Protocol (MCP) that exposes calculator and Yahoo Finance tools, allowing LLMs to interpret natural language requests and make tool calls via the MCP standard.

A secure multi-tenant server that provides real-time context to LLMs via REST API, using JWT authentication and PostgreSQL row-level security for tenant isolation.

A middleware server that intelligently routes AI model queries to appropriate data sources, providing contextual information to enhance AI responses.

A Model Context Protocol (MCP) server that exposes KiCad PCB design automation tools to AI assistants and other MCP clients.

A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.

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.

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 analysis of KiCad electronic schematics through natural language queries to search components, trace signal paths, explore connections, and analyze multi-board systems.

Enables creating Spotify playlists based on text descriptions by connecting Cursor editor to Spotify's API through OAuth authentication.

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

Enables KiCad CLI automation via MCP, providing tools for ERC, DRC, BOM export, netlist export, Gerbers, drill files, STEP, IPC-2581, and GLB output.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.

An MCP server that enables AI assistants to analyze schematics, inspect PCBs, trace connections, validate designs, and generate embedded code for KiCad projects.

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 AI assistants to drive KiCAD PCB design automation through MCP, covering schematic authoring, board and routing operations, footprint/symbol libraries, vendor PCB import, validation and DRC, and manufacturing export. It exposes 236 registered tools with keyword discovery, dynamic project-state resources, and optional Streamable HTTP transport with fail-closed Bearer authentication.

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.