$ loading_
Analyze code changes into reusable rules for AI coding agents
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 code modifications from the last 30 commits, extract recurring refactoring patterns, naming conventions, and error-handling practices, then generate reusable rules and organize them by priority for injection into an AI coding assistant.
A structured set of coding rules with rule text, source changes, version history, and scope, ready for use by an AI agent.
For the current TypeScript service repository, retrieve the most relevant historical rules based on file paths, tech stack, and task type within a 1500-token budget, and generate rule snippets suitable for an AI agent context.
A token-budgeted context rule pack prioritizing the code constraints and implementation habits most relevant to the current task.
List the code rules added, updated, and deprecated over the last quarter, and annotate each with its source commits, affected modules, version changes, and whether it should still be injected into an AI coding agent.
A rule audit report showing provenance, evolution history, and current validity for governance and traceability.
Generate reusable coding rules from code changes and inject them into AI context.
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.