Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-looptech-ai-understand-quickly": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
registryPublic registry of code-knowledge graphs with canonical pointers
https://looptech-ai.github.io/understand-quickly/registry.json
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A public, machine-readable registry of code-knowledge graphs.
Point AI agents at any indexed repo and they get a current, schema-validated graph — one URL, one fetch.
Latest: v0.4.0 — CLI 0.1.3, MCP 0.1.2, Python SDK 0.1.1, GH Action v0.1.0. CHANGELOG →
Browse → · Add your repo (wizard) · Quickstart · FAQ (plain English) · Alternatives · Badge · Contributing
It's a public directory of "map files" for codebases. Each entry points at a JSON file (a knowledge graph or context bundle) that describes a project's structure — files, functions, modules, how they connect — in a shape that AI tools can read in one network request.
If you're a project maintainer, you can add your repo so AI assistants can understand it instantly. If you're an AI agent or tooling developer, you can fetch any indexed graph by URL with no auth and no SDK.