Codescene

Name: Codescene
Author: codescene-oss

@codescene-oss

代码仓库

关于 Codescene

The CodeScene MCP Server exposes CodeScene’s Code Health analysis as local AI-friendly tools.

#codescene #code-health #ai-tools

基本信息

分类

其他

传输方式

stdio

发布者

codescene-oss

提交者

Asko Nõmm

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "codescene": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CS_ACCESS_TOKEN",
        "codescene/codescene-mcp"
      ],
      "env": {
        "CS_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Codescene?

The Codescene MCP Server exposes CodeScene’s Code Health analysis as local AI-friendly tools. It runs in your local environment and lets AI assistants (such as GitHub Copilot, Cursor, and Claude code) request code health insights directly from your codebase, augmenting prompts with information about code quality, maintainability, and technical debt.

How to use Codescene?

Run the server via Docker with environment variables for your CodeScene access token and the path to your code. Configure it for your AI assistant (Claude Code, Codex CLI, GitHub Copilot, Kiro, VS Code, or Amazon Q CLI) using the provided setup instructions for either CodeScene Cloud or CodeScene On-prem.

Key features of Codescene

Exposes CodeScene’s Code Health analysis as local AI tools.
Runs in your local environment without external data transfer.
Supports both CodeScene Cloud and CodeScene On-prem.
Works with multiple AI assistants (Claude Code, Copilot, etc.).
Requires only Docker and an access token to configure.

Use cases of Codescene

AI assistants can request code quality,

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