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Code Rules MCP

MCP Server

MCP server for enforcing coding standards

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Updated Apr 6, 2025

About

Code Rules MCP is a lightweight server built with Bun that validates and enforces coding style rules across projects, ensuring consistent code quality during development.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview of Matstack Code Rules MCP

The Matstack Code Rules MCP is a lightweight, runtime‑enabled server that exposes a set of code‑linting and style‑enforcement tools to AI assistants via the Model Context Protocol. It addresses a common pain point for developers: keeping code consistent across teams while still allowing AI assistants to suggest and generate code snippets that respect project‑specific conventions. By turning static analysis rules into an MCP endpoint, the server lets assistants query, apply, and even learn from these rules in real time.

What Problem Does It Solve?

In many projects, developers rely on external linters (e.g., ESLint, Prettier) to enforce coding standards. However, when an AI assistant writes or refactors code, it typically lacks direct access to these tools. The Matstack server bridges that gap by providing a programmatic interface for rule evaluation, enabling assistants to generate code that passes lint checks before it is committed. This reduces the friction of integrating AI into existing workflows and eliminates the need for developers to manually run linters after every AI‑generated change.

Core Functionality and Value

At its heart, the server hosts a collection of code‑rules—configurable patterns that enforce syntax, naming conventions, or architectural constraints. An AI client can:

  • Query rule sets to understand what a project expects.
  • Validate snippets against the active rules and receive detailed diagnostics.
  • Suggest corrections that align with the rule set, effectively acting as a real‑time linting assistant.

Because these operations are exposed through MCP, any AI capable of communicating over the protocol can seamlessly incorporate rule compliance into its generation pipeline. This tight coupling between rule enforcement and code creation leads to higher quality outputs, fewer merge conflicts, and a smoother onboarding experience for new contributors.

Key Features Explained

  • Dynamic Rule Retrieval – Clients can request the current configuration, allowing them to adapt to changes without redeploying the assistant.
  • Real‑time Validation – Code snippets are evaluated instantly, providing immediate feedback on style or syntactic violations.
  • Custom Rule Extension – Developers can add bespoke rules tailored to their domain, and the server will expose them automatically.
  • Diagnostic Detailing – Errors are returned with line numbers, descriptions, and suggested fixes, mirroring the output of traditional linters.
  • Stateless Design – Each validation request is independent, simplifying scaling and integration into CI/CD pipelines.

Use Cases & Real‑World Scenarios

  • Collaborative Coding – Teams use the server to ensure that AI‑generated functions adhere to project conventions before merging.
  • Automated Refactoring – An assistant can propose refactorings that automatically pass lint checks, reducing manual review time.
  • Onboarding Helpers – New developers receive instant feedback on code snippets, accelerating learning of internal standards.
  • CI/CD Gatekeeping – Integrate the MCP endpoint into continuous integration to block builds that violate style rules.

Integration with AI Workflows

Developers embed the MCP server into their existing toolchains (e.g., VS Code extensions, GitHub Actions). The AI assistant, once configured to communicate with the server, can:

  1. Ask for the current rule set before generating code.
  2. Send generated snippets to the server for validation.
  3. Receive diagnostics and either auto‑fix or prompt the user.

Because MCP is language-agnostic, the same server can serve multiple assistants (Claude, GPT‑4o, etc.) and even support different programming languages by loading appropriate rule engines.

Unique Advantages

Unlike standalone linters, the Matstack Code Rules MCP offers runtime accessibility and protocol‑based integration, making it a first‑class citizen in AI‑driven development pipelines. Its lightweight Bun runtime ensures minimal overhead, while the modular rule architecture allows teams to evolve standards without redeploying the server. This combination of speed, flexibility, and seamless AI connectivity positions the Matstack Code Rules MCP as a powerful ally for developers seeking to blend human creativity with automated quality assurance.