Codescene MCP Server

Name: Codescene MCP Server
Author: codescene-oss

by codescene-ossversion 1.1.0i★ –iRuns on your computer

Registry namecom.codescene/codescene-mcp-server

Install

Overview

Description from the maker (original English)

An MCP server that provides CodeScene Code Health analysis tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain codescene.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Clinics & healthi

More stars than 0% of the other 855 servers in this category
Published to the registry more recently than 3% of the other 855 servers in this category
Basic checks equal to or better than 100% of the other 855 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Codescene MCP Server safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

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

Mirobody

by thetahealth

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

Runs on your computer★ 1,408Apache-2.0Updated 5 days ago

Install

FHIR MCP Server

by wso2

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

Runs on your computer★ 137Apache-2.0Updated 8 days ago

Install

Google Health MCP

by davidmosiah

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

Runs on your computer★ 79MITUpdated 4 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

Codescene MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Clinics & healthi

Common questions

Alternatives

Mirobody

FHIR MCP Server

Google Health MCP

README from the maker

CodeScene MCP Server

Getting Started with CodeScene MCP

Installation

Use Cases

Safeguard AI-Generated Code

Uplift Unhealthy Code for AI Readiness

Make Targeted Refactoring

Understand Existing Code Before Acting

Review MCP Safeguard Impact

Frequently Asked Questions