Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@JLCEDA MCP Server Read the current schematic and list all components."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP 服务器和 EDA Bridge 插件是一个完整的系统，缺一不可。
现已统一到主仓库：
Related MCP server: kicad-mcp
👉 https://github.com/UR-xiaoyang/JLCEDA-MCP
主仓库包含：
✅ mcp-server（原生 MCP 服务器）
✅ mcp-bridge（EDA Bridge 插件）
✅ 完整的文档和示例
✅ 最新的更新和支持
请前往主仓库获取最新版本和完整功能。
This server cannot be deployed
Generate, inspect, and manage Flowstep UI designs directly from your AI assistant.
Carbon Voice MCP serves as a bridge that connects AI assistants like ChatGPT, Claude, and Cursor to a user's Carbon Voice account, turning voice messages and conversations into a private, on-demand knowledge base. It provides 28 specialized tools for comprehensive voice messaging management, including creating and sending messages, accessing conversation history with instant transcription, running AI actions (summarization, TLDR generation, meeting notes), and managing workspace collaboration through folders, contacts, and team communications.
The Canva MCP server connects AI assistants (like Claude, ChatGPT, and Cursor) to Canva's API, enabling them to create and manage designs directly within chat conversations. Key capabilities include generating new designs from prompts, autofilling templates, searching and resizing existing designs, importing files from URLs, exporting designs as PDFs or images, and managing folders and comments without switching between tools.
Connect AI assistants to Subotiz - Using Subotiz's external capabilities through natural language
