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Generate reusable coding rules from code changes and inject them into AI context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-rule-engine" yet — see the docs or source repo.
Analyze the AST-level changes in the last 30 commits of this repository, extract recurring implementation patterns and constraints, and generate reusable rules ranked by priority.
A structured set of coding rules with triggers, recommended practices, examples, and priority.
Retrieve the rules most relevant to 'refactoring the user authentication module', assemble them into context within a 1500-token budget, and include version and audit metadata.
A compact rule context package ready to be passed directly to an AI agent for development work.
Compare rule library v1.8 and v2.0, explain added, removed, and modified rules, and describe how these changes may affect code generation behavior.
An audit report of rule changes that helps the team trace the source of AI coding behavior changes.
Analyze code changes into reusable rules for AI coding agents
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Gives AI coding agents a structural map of your repository fast.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Get context-aware coding rules, development guidance, and AI-curated advice.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.