Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
The OpenROAD MCP server - interactive EDA sessions via Model Context Protocol
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Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"openroad": {
"command": "uvx",
"args": [
"openroad-mcp"
]
}
}
}Run this in your terminal
claude mcp add openroad -- uvx openroad-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openroad": {
"command": "uvx",
"args": [
"openroad-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"openroad": {
"type": "stdio",
"command": "uvx",
"args": [
"openroad-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account luarss, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.5.3) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell
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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.
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