Codescene MCP Server

Name: Codescene MCP Server
Author: codescene-oss

作者：codescene-oss版本 1.1.0i★ –i在你的电脑上运行

注册名称com.codescene/codescene-mcp-server

安装

概览

作者提供的说明（英文原文）

An MCP server that provides CodeScene Code Health analysis tools.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 诊所与健康

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "codescene": {
      "command": "npx",
      "args": [
        "-y",
        "@codescene/codehealth-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add codescene -- npx -y @codescene/codehealth-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "codescene": {
      "command": "npx",
      "args": [
        "-y",
        "@codescene/codehealth-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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "codescene": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@codescene/codehealth-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。

它能做什么

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。

基础检查i

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6日

✓ 通过
作者与仓库一致
注册名称已通过域名 codescene.com 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
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“诊所与健康”中的其他服务器比较i

星标数多于此分类中其他 855 个服务器的 0%
发布到注册中心的时间比此分类中其他 855 个服务器的 3% 更新
基础检查结果等于或优于此分类中其他 855 个服务器的 100%

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。

常见问题

Codescene MCP Server 安全吗？

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。

它需要哪些密钥或代码？

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。

它在我的电脑上运行还是在云端？

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）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.1.0）于8个月前进入注册中心。

哪些应用可以使用它？

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 Node.js。

有什么可以替代它？

同一分类中有：Mirobody, FHIR MCP Server, Google Health MCP

替代选择

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

Mirobody

作者：thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

在你的电脑上运行★ 1,408Apache-2.05天前更新

安装

FHIR MCP Server

作者：wso2

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

在你的电脑上运行★ 137Apache-2.08天前更新

安装

Google Health MCP

作者：davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

在你的电脑上运行★ 79MIT4个月前更新

安装

作者的 README

打开 README

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。

CodeScene MCP Server

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

This server is designed to run in your local environment and lets AI assistants (like GitHub Copilot, Cursor, Claude code, etc.) request meaningful Code Health insights directly from your codebase. The Code Health insights augment the AI prompts with rich content around code quality issues, maintainability problems, and technical debt in general.

The repository also includes a downloadable set of public agent skills in skills/ for teams that want to reuse CodeScene MCP workflows in their own agentic pipelines.

Getting Started with CodeScene MCP

Want AI to perform the setup? Start with skills/installing-and-activating-codescene-mcp/SKILL.md.

Setting up Authentication to the MCP Server — see Authentication.
Install the MCP Server using one of the installation options below.
Add the MCP Server to your AI assistant. See the detailed instructions for your environment in the installation guide.
Copy the agent guidance that matches your license into your repository: AGENTS-full.md for CodeScene Core users, AGENTS-standalone.md for standalone license users, or .amazonq/rules for Amazon Q. Also copy any relevant public skills for reusable workflow prompts.
Explore the available tools to see what the MCP Server can do and which tools are available for your license.

Installation

Choose the installation method that works best for your platform.

NPM / npx (macOS, Linux, Windows)

Run the MCP server directly with npx (no install needed):

npx @codescene/codehealth-mcp

Or install globally:

npm install -g @codescene/codehealth-mcp

The first run automatically downloads the correct platform-specific binary for your system and caches it for future use. Requires Node.js 18 or later.

📖 [Full installation & integration guide](docs/npm-installation.md)

Claude Code

Add the CodeScene marketplace and install the plugin:

/plugin marketplace add codescene-oss/codescene-mcp-server

/plugin install codescene@codescene

This installs the MCP server and Code Health skills. Requires Node.js 18 or later.

Claude Desktop

Download the MCP bundle from the latest release page:

codehealth-mcp-{version}.mcpb

Then open the .mcpb file with Claude Desktop to install the MCP server.

VS Code

The CodeScene MCP is available as a VS Code extension:

Homebrew (macOS / Linux)

brew tap codescene-oss/codescene-mcp-server https://github.com/codescene-oss/codescene-mcp-server

brew trust codescene-oss/codescene-mcp-server brew install cs-mcp

📖 [Full installation & integration guide](docs/homebrew-installation.md)

Windows

For VS Code / GitHub Copilot, the CodeScene MCP extension bundles and automatically configures the server without a separate PowerShell installation.

Run this in PowerShell:

irm https://raw.githubusercontent.com/codescene-oss/codescene-mcp-server/main/install.ps1 | iex

After installing, fully quit and reopen your AI assistant or IDE (including all VS Code windows) so it picks up the updated PATH, then configure the MCP server using the guide below. Restarting only the MCP server or an integrated terminal does not refresh VS Code's PATH. The guide also includes a VS Code configuration that uses the executable path directly and avoids this PATH requirement.

📖 [Full installation & integration guide](docs/windows-installation.md)

Manual Download

Download the latest binary for your platform from the GitHub Releases page:

macOS: cs-mcp-macos-aarch64.zip (Apple Silicon) or cs-mcp-macos-amd64 (Intel)
Linux: cs-mcp-linux-aarch64.zip or cs-mcp-linux-amd64
Windows: cs-mcp-windows-amd64.exe

After downloading, make it executable and optionally add it to your PATH:

chmod +x cs-mcp-*

mv cs-mcp-* /usr/local/bin/cs-mcp

You can also build a static executable from source.

Docker

[!WARNING]

The Docker distribution is being retired. From October 1 through December 31, 2026, Docker images will be released only for bug fixes. No Docker images will be released after December 31, 2026. Migrate to NPM / npx, Homebrew, the Windows installer, or another installation option above.

docker pull codescene/codescene-mcp

📖 [Full installation & integration guide](docs/docker-installation.md) | Build the Docker image locally

Use Cases

[!TIP]

Watch the demo video of the CodeScene MCP.

[!NOTE]

CodeScene MCP comes with a set of example prompts, agent guidance files to capture the key use cases, and a downloadable set of public skills. Copy the agent guidance that matches your license — AGENTS-full.md for CodeScene Core users or AGENTS-standalone.md for standalone users — and any relevant skills to your own repository.

With the CodeScene MCP Server in place, your AI tools can:

Safeguard AI-Generated Code

Prevent AI from introducing technical debt by flagging maintainability issues like complexity, deep nesting, low cohesion, etc.

Uplift Unhealthy Code for AI Readiness

AI refactoring quality improves when code is modular and easy to reason about. The MCP server gives your assistant concrete guidance to get there:

run focused Code Health reviews,
identify the specific design issues to address,
refactor in small, measurable steps, and
verify progress with updated Code Health scores.

This workflow works with MCP alone and is often enough to safely improve legacy code.

Make Targeted Refactoring

AI tools can refactor code, but they lack direction on *what* to fix and *how to measure* if it helped. The Code Health tools solve this by giving AI assistants precise insight into design problems, as well as an objective way to assess the outcome: did the Code Health improve?

Understand Existing Code Before Acting

Use Code Health reviews to inform AI-driven summaries, diagnostics, or code transformations based on real-world cognitive and design challenges, not just syntax.

Review MCP Safeguard Impact

Ask your AI assistant to show your MCP usage overview to see Code Health uplifts, prevented degradations, and the scope and quality of your latest 250 MCP events. Supported clients display an interactive dashboard; other clients receive a Markdown summary. This API-connected feature requires a CodeScene Core account and is not available with a standalone license. See show_mcp_usage_overview for details.

Frequently Asked Questions

Do I need a CodeScene account to use the MCP?

The full feature set — including hotspots, technical debt goals, and code ownership — requires a CodeScene subscription. Authenticate by asking your AI Assistant to login to CodeScene, or use the login too. Alternatively, use your CodeScene instance to create the CS_ACCESS_TOKEN which activates the MCP. The MCP supports both CodeScene Cloud and CodeScene on-prem.

For local Code Health analysis without a CodeScene subscription, you can use the standalone CodeScene Code Health MCP.

How does the MCP Server keep my code private and secure?

The CodeScene MCP Server runs fully locally. All analysis — including Code Health scoring, delta reviews, and business-case calculations — is performed on your machine, against your local repository. No source code or analysis data is sent to cloud providers, LLM vendors, or any external service.

Analysis results (e.g. hotspots and technical debt goals) are fetched via REST from your own CodeScene account using a secure token.

For complete details, please see CodeScene's full privacy and security documentation.

Can I use any LLM as the backbone for CodeScene MCP?

CodeScene MCP can work with any model your AI assistant supports, but we strongly recommend choosing a frontier model when your assistant offers a model selector (as in tools like GitHub Copilot).

Frontier models -- such as Claude Sonnet -- deliver far better rule adherence and refactoring quality, while legacy models like GPT-4.1 often struggle with MCP constraints. For a consistent, high-quality experience, select the newest available model.

I have multiple repos — how do I configure the MCP?

Since you have to provide a mount path for Docker, you can either have a MCP configuration per project (in VS Code that would be a .vscode/mcp.json file per project, for example) or you can mount a root directory within which all your projects are and then just use that one configuration instead.

Why does IntelliJ give a wrong path to the MCP server?

In our testing we've seen that IntelliJ's AI Assistant sometimes gives a wrong path to the CodeScene MCP server. From what we can tell, it seems to have nothing to do with the MCP server itself, but rather with IntelliJ's AI Assistant, which seems to hallucinate parts of the path some of the time. We're still investigating this issue and will update this section once we have more information.

How do I configure custom SSL certificates?

If your organization uses an internal CA (Certificate Authority), set the REQUESTS_CA_BUNDLE environment variable to point to your CA certificate file (PEM format). The MCP server automatically configures SSL — you only need to set it once.

The MCP also supports SSL_CERT_FILE and CURL_CA_BUNDLE as alternatives.

For detailed configuration examples (including Docker certificate mounting), see Configuration Options — SSL/TLS.

How do I disable the version update check?

The MCP server periodically checks GitHub for newer releases and shows a "VERSION UPDATE AVAILABLE" banner when your version is outdated. This check runs in the background a

只显示了开头部分；其余内容请在仓库中阅读