loop-improver-mcp
MCP server that inspects older repos, identifies stale guidance, and installs a managed foundation for better Copilot work including instructions, objectives, specialist agents, and insights.
README
<!-- Last modified: 2026-07-09T11:56:00.989Z -->
loop-improver-mcp
MCP server for modernizing agent guidance across repositories.
loop-improver-mcp inspects an older repo, identifies stale or missing collaboration surfaces, and installs a small managed foundation for better Copilot work: durable instructions, objectives, specialist guidance, and current insight files.
It handles repos that already have mature .github files and repos that have no .github folder at all. The MCP call owns the architecture pass; generated agents are only for recurring domain work that needs a dedicated instruction surface.
Tools
compare_loopsinspects README,.github/copilot-instructions.md,.github/objectives.md, specialist agents, insights, and inferred repo profile.improve_loopcreates missing.githubstructure, installs or refreshes objectives, a repo-specialist agent, and current insight files, and preserves user-authored instructions outside managed blocks.record_loop_insightoverwrites the current architecture learning in.github/insights/loop-improver-mcp.md.
Outcome Rubric
The server evaluates canonical files against a desired shape:
README.md: names the repo, audience, capabilities, and durable entry points without becoming an operational runbook..github/copilot-instructions.md: holds durable rules, validation expectations, safety boundaries, and canonical file ownership..github/objectives.md: names repo-specific outcomes, maps active loops to those outcomes, and defines evidence for improvement.- Last modified hygiene: surfaces text files missing a
Last modifiedtimestamp and files whose timestamp is older than 30 days by default, then suggests objective and folder focus for the next session. .github/agents/: contains specialist guidance only for recurring domain work..github/insights/: records one current insight per MCP or specialist surface with verified improvements, prune candidates, reusable learnings, and self-improvement notes.
Usage Shape
Call compare_loops against older repos, then call improve_loop on repos missing the foundation or carrying stale guidance. Managed files are marked with <!-- Managed by loop-improver-mcp --> so later refreshes can update the loop without overwriting unrelated repo guidance.
The generated specialist guidance adapts to the repo profile, such as Python MCP hygiene, Rust hygiene, TypeScript product hygiene, blog voice/editing, docs clarity, infrastructure validation, or Security SE demo validation. The architecture loop remains in the MCP server.
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