Smart MCP Server

Smart MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. High-performance MCP server for code review with readability, structure, and maintainability analysis.

What you get

A production-ready Model Context Protocol (MCP) server that provides comprehensive code review and refactoring integrated with GitHub Copilot and Claude AI assistants.

What the assistant can call

Once Smart is connected, these are the calls the assistant has available:

• review_code — Comprehensive analysis
• get_readability_score — Readability focus
• get_structure_score — Structure focus
• get_maintainability_score — Maintainability focus
• refactor_code — Generate improvements
• batch_review — Compare multiple versions

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Choosing this one

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Smart's toolset — review_code, get_readability_score, get_structure_score and 3 more — is a fair guide to whether it matches your workflow. It is maintained by sandy-inspires; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Smart's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the smart mcp server does with a few real requests.