CodeHealth MCP Server by CodeScene

What it does

CodeHealth MCP Server ensures agents and AI coding assistants write maintainable, production-ready code without introducing technical debt. Using deterministic CodeHealth feedback, it guides agents to spot risks, improve unhealthy code, and refactor toward clear quality targets. Run it locally and keep full control of your workflow while making legacy systems more AI-ready. The result is more reliable AI-generated code, safer refactoring, and greater trust in real engineering workflows.

Give AI coding assistants code health guidance to detect and resolve code health issues, keeping code maintainable and helping legacy systems become AI-ready.

To set up your account correctly, please select where you are located. CodeHealth™ MCP Protect code quality. Stop the AI slop Give your AI agents the Code Health context to know what to fix, and prove it worked. Runs locally, on your machine. Try for free How it works ◇ Copilot Chat MCP: codescene-code-health CodeHealth™ We created CodeHealth , a metric that predicts where AI coding agents will perform reliably and where they are likely to fail. Productized in the CodeHealth™ MCP Server for safe, high-quality AI coding. 35-45% With the CodeHealth MCP, you can save up to 45% on token spend. Run the MCP server locally, fully under your control. Model-agnostic, it supports AI assistants and…from codescene.com

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  Mastra FactoryAug 2026 · mastra.ai · ▲536

  We wanted to build a course for new Mastra devs to get started quickly. However, we knew videos would go out of date and be more difficult to maintain. We decided to launch our "course" as an MCP server. This way your coding agent actually teaches the course content to you and can help you write the code. We think this is a really interactive way to learn. Using an editor with MCP support (such as Cursor, Windsurf, or VSCode), your code agent will call the appropriate MCP tools which will return context for the agent. This context tries to instruct the agent that it should be teaching you…

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  VibeShift MCP2025 · github.com · ▲141

  Hi HN, We are the devs behind VibeShift. We have been building this MCP server to put AI coding assistants in an automatic feedback loop. They code, test, debug, fix everything until we have a fully working, secure code. It tests like a real user, copies network/console and logical errors to give them back to cursor. (1 min demo - https://www.youtube.com/watch?v=bN_RgQGa8B0) We felt this was the natural next step for AI coding assistants. And with new asynchronous assistants like codex, having a plug & play tester makes sure you don't have to spend time debugging and…

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  GitHub MCP Server2025 · github.com · ▲324

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  A "Codebase" as an MCP Server2025 · github.com · ▲20

  We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…

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