MCP Servers

jlceda-mcp

Enables AI agents to interact with 嘉立创 EDA for PCB design tasks including project management, component libraries, rule checking, and manufacturing constraints.

README

嘉立创 EDA MCP Server

面向 AI Agent 的嘉立创 EDA 专业版 MCP Server，将扩展 API、工程文件、器件库、规则检查和制造约束封装成标准化 MCP 能力。

快速开始

环境要求

Node.js >= 20.5.0
pnpm >= 10
嘉立创 EDA 专业版（客户端或网页版）

安装

推荐本地路径: D:\jlceda-mcp（路径不含空格和非 ASCII 字符，符合 pro-api-sdk 官方建议）

# 克隆到本地（推荐 D 盘）
git clone <repo-url> D:\jlceda-mcp
cd D:\jlceda-mcp

# 安装依赖
pnpm install

# 构建所有包
pnpm build

架构

AI Client ─stdio─→ MCP Server ─RPC─→ Domain Service ─WebSocket─→ Bridge Extension ─eda.*─→ 嘉立创 EDA
                                    (进程A)           (进程B)                    (编辑器内.eext)

包	职责
`packages/shared`	跨进程共享类型与协议
`packages/mcp-server`	进程 A：MCP 协议、工具注册、权限门禁、审计
`packages/domain-service`	进程 B：业务逻辑、Project Model、Rule Engine、Bridge 客户端
`packages/bridge-extension`	编辑器内扩展：调用 `eda.*` 扩展 API

运行

# 1. 启动 Domain Service（进程 B）
pnpm --filter @jlceda-mcp/domain-service dev

# 2. 启动 MCP Server（进程 A，stdio）
pnpm --filter @jlceda-mcp/server dev

# 3. 在嘉立创 EDA 中导入 Bridge Extension
#    构建扩展包 → 导入 .eext 到编辑器
pnpm --filter @jlceda-mcp/bridge-extension build

配置 AI 客户端

以 Claude Desktop 为例，编辑 claude_desktop_config.json：

{
  "mcpServers": {
    "jlceda": {
      "command": "node",
      "args": ["D:\\jlceda-mcp\\packages\\mcp-server\\dist\\index.js"]
    }
  }
}

安全设计

操作分级: 只读（默认开放）/ 低风险写入 / 高风险（需确认+审计）
dry_run: 写操作支持预演
审计日志: 每个操作可追踪
门禁示例: export_gerber 要求工程已保存 + ERC/DRC 完成 + P0=0 + 用户确认

开发

pnpm typecheck   # 类型检查
pnpm build       # 构建
pnpm test        # 测试

参考资料

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