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io.github.looptech-ai/understand-quickly

NPM · @LOOPTECH-AI/UNDERSTAND-QUICKLY-MCP · SCANNED AUG 3

Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.

Available components

npm · @looptech-ai/understand-quickly-mcp 74
+50 this week 74 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security86
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency84
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to looptech-ai/understand-quickly). View diagnostics → Pass
  • License check failed: the license (Apache-2.0 AND LicenseRef-Understand-Quickly-Data-License-1.0) isn't a recognized OSI-approved license. See how to fix → Fail
  • Actively maintained (last published 84 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability66
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 365 tokens (~91/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @looptech-ai/understand-quickly-mcp

# add to Claude Code
claude mcp add looptech-ai-understand-quickly -- npx -y @looptech-ai/understand-quickly-mcp
# add to Codex CLI
codex mcp add looptech-ai-understand-quickly -- npx -y @looptech-ai/understand-quickly-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "looptech-ai-understand-quickly": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@looptech-ai/understand-quickly-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add looptech-ai-understand-quickly --command npx --arg -y --arg @looptech-ai/understand-quickly-mcp
# ~/.hermes/config.yaml
mcp_servers:
  looptech-ai-understand-quickly:
    command: "npx"
    args: ["-y", "@looptech-ai/understand-quickly-mcp"]
// mcp.json
{
  "mcpServers": {
    "looptech-ai-understand-quickly": {
      "command": "npx",
      "args": [
        "-y",
        "@looptech-ai/understand-quickly-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +54
    • Install scripts: unverified → pass ▲ security
    • Provenance: unverified → pass ▲ security
    • Known CVEs: unverified → partial ▲ security
    • The attested source repository moved: looptech-ai/understand-quickly security
    • License: unverified → fail ▼ functional
    • Maintenance: unverified → pass ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Stability: unverified → 0.23 ▲ functional
    • Schema quality: unverified → good ▲ functional
    • Tool coverage: unverified → 100 ▲ functional
    • Dependency health: unverified → partial ▲ functional
    • Licence: Apache-2.0 AND LicenseRef-Understand-Quickly-Data-License-1.0 functional
  • 2 Aug 26 −1
    • Malware scan: unverified → pass ▲ security
    • Tool coverage: 100 → unverified ▼ functional
  • 31 Jul 26 −3
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 24

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/@looptech-ai/[email protected]

Provenance verified

Ecosystem: npm · Outcome: verified

Reason: verified

Source repo:
looptech-ai/understand-quickly
Certificate issuer:
https://token.actions.githubusercontent.com
Certificate SAN:
https://github.com/looptech-ai/understand-quickly/.github/workflows/publish-mcp.yml@refs/tags/mcp-v0.1.1
Rekor log index:
1492369760
Predicate type:
https://slsa.dev/provenance/v1
Subject digest:
sha512:0d94a79d7dcebeaf8dda8cd8110238f672d3bb9a97b56778d66000620140f7033fd2ef4226197ef81e90b6ec9f1fb2f49164a7aa22d18677c2d766dc1
Discovery method:
attestation_endpoint
Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 4 exposed · ~365 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
find_graph_for_repo ~118

Look 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.

NameTypeReqDescription
github_urlstring—GitHub URL (https or ssh form). Trailing .git, branches, and sub-paths are tolerated.
idstring—Registry id, e.g. "Lum1104/Understand-Anything".

No output schema declared.

No examples provided.

get_graph ~45

Fetch and return the parsed knowledge graph JSON for a registry entry by id.

NameTypeReqDescription
idstringyesRegistry entry id, e.g. "Lum1104/Understand-Anything".

No output schema declared.

No examples provided.

list_repos ~82

List entries in the understand-quickly registry. Optional filters: format, tag, status.

NameTypeReqDescription
formatstring—Exact match on entry.format (e.g. "understand-anything@1").
statusstring—Exact match on entry.status (typically "ok").
tagstring—Returns entries whose tags array contains this string.

No output schema declared.

No examples provided.

search_concepts ~120

Search 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.

NameTypeReqDescription
idstring—Optional entry id. If given, scopes the search to that single graph (legacy node-level mode).
querystringyesSubstring to search for (case-insensitive).

No output schema declared.

No examples provided.