A
licenseB
qualityD
maintenanceA code review tool server based on Model Context Protocol (MCP), providing multi-dimensional code review and scoring functions.
4
2
Apache 2.0
AI Code Review MCP Server
by hakityc
Related Servers
Alternatives to AI Code Review MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceA code review MCP server built on FastMCP, supporting security audit, style check, complexity analysis, and bug pattern detection for Python code.MIT
- FlicenseNot gradedqualityDmaintenanceA server that implements the Model Context Protocol (MCP) for orchestrating code reviews using a multi-agent system with Melchior, Balthasar, and Casper agents.2-
- AlicenseNot gradedqualityBmaintenanceMCP server for automated code review using AI agents. It analyzes code diffs or file paths for bugs, security issues, and style violations.MIT
- AlicenseNot gradedqualityFmaintenanceAn MCP server that provides senior-level code review, quality checks, security analysis, and refactoring suggestions directly in your editor.1MIT
- AlicenseAqualityBmaintenanceDeterministic code review MCP server that provides tools for file selection, rule matching, comment positioning, and reflection, ensuring stable review quality without LLM calls.510 npm1MIT
TDQS
A4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a distinct aspect of code review: overall code review, diff review, single file review, and score parsing. There is no overlap, so an agent can clearly differentiate them.
Naming Consistency5/5
All tools use a consistent verb_noun pattern in snake_case: review_code, review_diff, review_file, parse_review_score. The naming is predictable and follows a clear convention.
Tool Count5/5
With 4 tools, the server is well-scoped for generating code review prompts and parsing scores. The count is neither too few nor excessive, matching the narrow domain perfectly.
Completeness4/5
The server covers the main prompt generation scenarios (code, diff, file) and score parsing. A minor gap is the lack of a tool to extract detailed review comments, but for prompt generation and score extraction it is sufficiently complete.
Maintenance
ActivityInactive
ResponsivenessNo issues