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Give AI coding assistants project context, review workflows, TDD, and delivery orchestration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "StackGuide MCP" yet — see the docs or source repo.
Based on the current repository, generate project context, extract coding standards, folder conventions, and key dependencies, then produce a persistent rule set for an AI coding assistant to follow.
A project-aware context summary and actionable rule set for consistent future development.
For the requirement 'add account lockout after repeated failed logins,' follow TDD: write tests first, implement the feature, then summarize changed files, test results, and risks.
A development plan with test-first steps, code change guidance, test outcomes, and risk notes.
Review the changes in this feature branch, check code quality, potential defects, and release impact against project rules, then provide pre-merge tasks and delivery recommendations.
A structured code review report with issues, priorities, merge advice, and release readiness items.
Turn AI coding assistants into context-aware developers with safe command execution.
Gives AI coding agents a structural map of your repository fast.
Analyze code changes into reusable rules for AI coding agents
Generate reusable coding rules from code changes and inject them into AI context.
Indexes JS/TS projects and builds optimized context packs for AI coding assistants
Read, search, and update codebase documentation context through MCP.