Understand Quickly
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
Connector by looptech-ai · GitHub account verified by the MCP Registry
Chalk Labs
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/looptech-ai-understand-quickly
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 4 read · 0 write · 0 deleteRead-only
- Secrets
- None asked for
- Install scripts
- Not scanned yet
- Runs as
- Node.js package
Tools by what they do 4
Read from the source code; the running server may list different tools.
Read 4 · Look things up without changing anything.
find_graph_for_repoget_graphlist_repossearch_concepts
Tools (4)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
find_graph_for_repoLook up a registry entry by `id` ("owner/repo") or `github_url` (https or ssh form, with optional .git/branch/path). Returns graph_url + drift metadata, or {found:false, suggestions} with up to 5 fuzzy-matched ids.
get_graphFetch and return the parsed knowledge graph JSON for a registry entry by id.
list_reposList entries in the understand-quickly registry. Optional filters: format, tag, status.
search_conceptsSearch aggregated concept terms across the registry. By default reads the precomputed stats.json (single GET, cached 60s) and returns matching terms with sample entry ids. If `id` is given, falls back to a single-graph node search. If stats.json is unavailable, falls back to a capped cross-graph node fan-out.
Signals
- Stars
- 48
- Forks
- 3
- Open issues
- 16
- Contributors
- 5
- Weekly downloads
- 14
- Last commit (this folder)
- Jun 11, 2026 (4 months ago)
- Last release
- May 12, 2026 (5 months ago)
- Last package publish
- May 10, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.looptech-ai/understand-quickly- Version
- 0.1.1
- Auth
- No auth
- Packages
- npm @looptech-ai/understand-quickly-mcp
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
Understand Quickly MCP server. Agent Mart. https://agentmart.dev/connectors/looptech-ai-understand-quickly (last updated 2026-10-24)