Skip to main content
Glama
ailiasdesu
by ailiasdesu

Related Servers

Alternatives to easyeda-bridge-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Connects a DeepSeek Harness agent to 嘉立创EDA专业版 / EasyEDA Pro through a local loopback bridge and JLCEDA extension, letting it search and place components, draw wires, net flags and labels, inspect and delete primitives, and save or zoom schematic documents. It also covers PCB work: placement and movement of components, tracks, vias, regions and board outlines, auto-place and auto-route with job polling, DRC, copper pours, and Gerber export.
      1
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI clients to design and edit JLC EDA professional projects through the official Run API Gateway, including component selection, schematic and PCB layout, net-by-net routing, DRC checks, and design verification with backups.
      14
      14 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to interact with 嘉立创 EDA for PCB design tasks including project management, component libraries, rule checking, and manufacturing constraints.
      18 npm
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables LLMs to read, query, search, and manipulate a live schematic or PCB canvas in the browser, including retrieving the active document, searching the LCSC parts database, and placing components, drawing wires, and updating net names. Bridges an MCP client to the editor via a WebSocket extension so changes appear in real time.
      2
      -
    • A
      license
      C
      quality
      C
      maintenance
      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.
      59
      237
      MIT