"mcp-pcb-emcopilot" matching MCP servers:

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.

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 AI coding assistants to control JLCPCB EDA for PCB automation, exposing 39 tools for component manipulation, routing, copper pour, DRC, and more. Includes a built-in PCB agent for orchestrating multi-step tasks.

An MCP server that enables AI programming assistants to directly control JLCPCB EDA for PCB design automation, offering 39 tools for component placement, routing, copper pour, DRC, and a PCB Agent for autonomous complex tasks.

Enables an AI assistant to drive a live EasyEDA Pro editor for end-to-end PCB design: searching the LCSC library for parts, placing and wiring schematic symbols, transferring the design to the board, placing footprints, routing tracks and vias, drawing outlines and silkscreen, pouring copper, running DRC, and exporting BOM, pick-and-place, netlist, DXF and Gerber fabrication files.

AI copilot for PCB design: search real JLCPCB/LCSC parts, build schematics, run ERC, auto-place and autoroute 2-layer boards with DRC, export Gerbers/BOM/pick-and-place, and generate 3D-printable enclosures. Changes appear live in the CircuitPilot browser editor.

Enables AI-powered autonomous hardware design within EasyEDA Pro, allowing users to create schematics, PCB layouts, and manufacturing files using natural language. It integrates direct EDA tool control with an engineering knowledge base and real-time component searching via JLCPCB and LCSC.

MCP server for the Computeback agent rewards marketplace and CB Hire B2B labor marketplace. Agents browse the storefront (compute, voice, memory, storage, 25+ categories) using $NOMD tokens, and discover/accept paid B2B work (email/voice/SMS/landing-page campaigns) and/or book travel on Autonomad for $NOMD earnings on Base L2.

Python library for agent-operable experiment evidence and control. Bring any training code

An MCP server that enables AI clients to delegate tasks to autonomous developer teams using Goose CLI subagents, supporting parallel or sequential execution of specialized agents for different development roles.

MCP server for PathCourse Health enabling cheaper LLM inference, USDC-based agent payments, and agent identity/reputation lookup.

Enables LLM orchestrators to delegate low-level GUI subtasks such as clicking, typing, and form filling to a local vision-language policy through a single MCP tool call, avoiding per-action round trips.

MCP server that enables AI agents to control Windows by clicking, typing, and navigating with a visible cursor overlay, using a layered approach (native UIA, browser CDP, pixel fallback) for reliable interaction.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.