广告合作
MCP.so
登录
O

Openroad MCP Server

@luarss

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

luarss

提交者

Song Luar

关于 Openroad MCP Server

暂无概览

Openroad MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "openroad-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/luarss/openroad-mcp",
        "openroad-mcp"
      ]
    }
  }
}

Openroad MCP Server 工具

9

Execute commands in an interactive OpenROAD session

Create a new OpenROAD session

List all active sessions

Terminate a session

Get detailed session information

View command history

Get performance metrics

List ORFS report directory images

Read a ORFS report image

概览

What is Openroad Mcp?

Openroad Mcp is a Model Context Protocol (MCP) server that provides tools for interacting with OpenROAD and ORFS (OpenROAD Flow Scripts). It enables AI assistants to execute OpenROAD commands in persistent sessions, manage multiple sessions, access command history and performance metrics, and visualize ORFS reports.

How to use Openroad Mcp?

Install via uvx using the standard MCP client JSON configuration: set the command to uvx with arguments --from git+https://github.com/luarss/openroad-mcp openroad-mcp. For Claude Code, add the server via the CLI: claude mcp add --transport stdio openroad-mcp -- uvx --from git+https://github.com/luarss/openroad-mcp openroad-mcp. Once configured, restart the client and tools such as interactive_openroad and create_interactive_session become available.

Key features of Openroad Mcp

  • Interactive OpenROAD sessions with PTY support
  • Session creation, listing, inspection, and termination
  • Command history access for any session
  • Performance metrics across all sessions
  • Report image listing and reading from ORFS runs

Use cases of Openroad Mcp

  • Running and debugging OpenROAD commands interactively via an AI assistant
  • Managing multiple concurrent OpenROAD sessions in EDA workflows
  • Monitoring performance metrics across OpenROAD design runs
  • Inspecting and reading ORFS report images without leaving the MCP client
  • Automating RTL-to-GDS flow tasks through MCP tools

常见问题

1

What are the system requirements?

OpenROAD must be installed and available in your PATH. Python 3.13+ and the `uv` package manager are also required. ORFS (OpenROAD Flow Scripts) is optional but recommended for complete flows.

2

Which MCP clients are supported?

Claude Code and Gemini CLI are fully supported via STDIO transport. Other MCP clients using STDIO should work with standard configuration.

3

How do I troubleshoot if the server fails to start?

Ensure `uv` is installed and in PATH, verify the path to `openroad-mcp` is correct, run `make sync` to install all dependencies, and check your MCP client logs for specific error messages.

4

Is Docker deployment available?

Docker deployment via GitHub Container Registry is a work in progress and not yet available.

5

Can I use Openroad Mcp without ORFS?

Yes, OpenROAD alone is sufficient for running commands interactively. ORFS is optional but recommended for complete RTL-to-GDS flow support.

评论

其他 分类下的更多 MCP 服务器

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

MCP Toolbox for Databases

googleapis

MCP Toolbox for Databases is an open source MCP server for databases.

15.9K
广告合作