Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
The OpenROAD MCP server - interactive EDA sessions via Model Context Protocol
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"openroad": {
"command": "uvx",
"args": [
"openroad-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add openroad -- uvx openroad-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"openroad": {
"command": "uvx",
"args": [
"openroad-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"openroad": {
"type": "stdio",
"command": "uvx",
"args": [
"openroad-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 luarss 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.5.3)于5个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv), Docker。
同一分类中有:Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Live in-stock Hetian jade from Yufu, Shanghai: prices, monthly price guide, book a viewing.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
A Model Context Protocol (MCP) server that provides tools for interacting with OpenROAD and ORFS.
New here? Check out the Quick Start Guide to get your AI assistant analyzing designs in 5 minutes.
OpenROAD MCP eliminates the barrier between your AI assistant and physical design by connecting Claude, Cursor, and other MCP-compatible clients directly to the OpenROAD layout tools.
OpenROAD is the leading open-source, foundational application for semiconductor digital design, delivering an Autonomous, No-Human-In-Loop (NHIL) flow from RTL-GDSII. OpenROAD-flow-scripts (ORFS) is the fully autonomous flow built around it.
With this MCP server, your AI assistant can:
To use this MCP server, you need the server runtime, plus the underlying OpenROAD layout tools.
npx distribution.OpenROAD must be installed and available in your PATH.
ORFS is optional but highly recommended for complete RTL-to-GDS flows and report visualization.
For platform-specific Node.js and C++ toolchain setup instructions, see the [Cross-Platform Build Guide](docs/CROSS_PLATFORM.md).
You do not need to clone this repo or pass path environment variables in the common case. The published npx package does not read a .env file.
On startup the server inherits the MCP client's environment, then fills PATH the same way which openroad would: current PATH, then your login-shell PATH, then common install locations (/opt/homebrew/bin, conda, local OpenROAD builds). ORFS_FLOW_PATH defaults to ~/OpenROAD-flow-scripts/flow, and is also detected when ORFS sits next to the openroad binary.
Here is the standard base configuration used across most clients:
{
"command": "npx", "args": ["-y", "openroad-mcp"] }
Find your specific client below for the exact configuration snippet and file location.
Claude Code
claude mcp add --transport stdio openroad-mcp -- npx -y openroad-mcp
Or add the standard config to .mcp.json / .claude/settings.json.
If a GUI-launched client still cannot find openroad, pass an override. Use command -v so you do not hard-code paths:
claude mcp add \
--env PATH="$(dirname "$(command -v openroad)"):${PATH}" \ --env ORFS_FLOW_PATH="${HOME}/OpenROAD-flow-scripts/flow" \ --transport stdio openroad-mcp \ -- npx -y openroad-mcp
Put --transport between --env and the server name so the CLI does not treat the name as another KEY=value pair.
Claude Desktop
Add the standard config to:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonCursor
Add the standard config to .cursor/mcp.json.
GitHub Copilot (VS Code)
Add to .vscode/mcp.json. Requires "type": "stdio":
{
"servers": { "openroad-mcp": { "type": "stdio", "command": "npx", "args": ["-y", "openroad-mcp"] } } }
</details>
Windsurf
Add the standard config to ~/.codeium/windsurf/mcp_config.json.
Cline / Roo Code
Add the standard config to cline_mcp_settings.json (Cline) or .roo/mcp.json (Roo Code).
Continue / PearAI
Add to your respective config.json under modelContextProtocolServers:
{
"transport": { "type": "stdio", "command": "npx", "args": ["-y", "openroad-mcp"] } }
</details>
Zed
Add to ~/.config/zed/settings.json:
{
"context_servers": { "openroad-mcp": { "command": { "path": "npx", "args": ["-y", "openroad-mcp"] } } } }
</details>
Docker / MCP Registry / Others
The server is available on the MCP Registry and via Docker:
docker run --rm -i ghcr.io/the-openroad-project/openroad-mcp:latest
Most other standard STDIO clients are fully supported. Refer to your tool's MCP setup guide.
Once configured, your AI assistant will have access to the following tools. For detailed parameters, schemas, and return formats, see the [API Reference](docs/API.md).
interactive_openroad_queryinteractive_openroad_execcreate_interactive_sessionlist_interactive_sessionsterminate_interactive_sessioninspect_interactive_sessionget_session_historyget_session_metricslist_report_imagesread_report_imagecommand -v openroad works in a terminal. The server inherits PATH and searches common install locations; if your prefix is unusual, pass PATH with --env as shown in the Claude Code section.interactive_openroad_query. Use interactive_openroad_exec instead.~/OpenROAD-flow-scripts/flow. If ORFS lives elsewhere, set ORFS_FLOW_PATH in the MCP client's env block (not a .env file).To get more detail, set LOG_LEVEL=DEBUG in the server's environment.
Clone the repository. .env.example is a local-dev reference only; copy it to .env if you use direnv or similar. The server still reads process.env (the MCP client's env block), not the file.
Then run:
cd typescript
npm install npm run build
Testing:
npm run test # unit tests
npm run test:integration # integration tests npm run test:performance # performance benchmarks
Linting & type checking:
npm run typecheck
npm run lint
We welcome contributions! Please see CONTRIBUTING.md for detailed instructions on our development workflow and code standards.
BSD 3-Clause License. See LICENSE file.
*Built with ❤️ by Precision Innovations*