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Analyze multi-language technical debt and prioritize code quality improvements.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Tech Debt MCP Server" yet — see the docs or source repo.
Analyze the technical debt in this code repository, list the main code quality issues by severity, and provide the highest-priority remediation recommendations.
A prioritized issue list with affected modules, risk explanations, and remediation recommendations.
Based on the project's current technical debt, identify the modules most worth refactoring first, and explain the reasons, expected benefits, and potential risks.
Refactoring priority recommendations with business impact, maintenance cost, and suggested implementation order.
Using the detected technical debt, create a remediation plan for the development team, including phased goals, task breakdowns, and tracking metrics.
An actionable remediation roadmap for the team to address technical debt in phases.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Analyze, match, and transform code structures across multiple programming languages.
Analyze code structure and Git history while drastically reducing AI token usage.
Analyze repositories and provide intelligent code context for AI coding assistants.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Analyze and optimize codebases for performance, memory, smells, and complexity.