loop-improver-mcp
Inspects and improves GitHub repository guidance files, including README, copilot instructions, objectives, agents, and insights, to modernize collaboration surfaces for Copilot.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@loop-improver-mcpcompare and improve loops in the repo"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: code-intel-mcp
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.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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