io.github.looptech-ai/understand-quickly
NPM · @LOOPTECH-AI/UNDERSTAND-QUICKLY-MCP · SCANNED SEP 20
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
Available components
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency87
- 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 132 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).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 Management93
- Stability observed for 28 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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.looptech-ai/understand-quickly MCP server?
io.github.looptech-ai/understand-quickly runs locally as an npm package, launched with npx -y @looptech-ai/understand-quickly-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @looptech-ai/understand-quickly-mcp
claude mcp add looptech-ai-understand-quickly -- npx -y @looptech-ai/understand-quickly-mcp
{
"mcpServers": {
"looptech-ai-understand-quickly": {
"command": "npx",
"args": [
"-y",
"@looptech-ai/understand-quickly-mcp"
]
}
}
} {
"servers": {
"looptech-ai-understand-quickly": {
"command": "npx",
"args": [
"-y",
"@looptech-ai/understand-quickly-mcp"
]
}
}
} codex mcp add looptech-ai-understand-quickly -- npx -y @looptech-ai/understand-quickly-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"looptech-ai-understand-quickly": {
"type": "local",
"command": [
"npx",
"-y",
"@looptech-ai/understand-quickly-mcp"
],
"enabled": true
}
}
} openclaw mcp add looptech-ai-understand-quickly --command npx --arg -y --arg @looptech-ai/understand-quickly-mcp
mcp_servers:
looptech-ai-understand-quickly:
command: "npx"
args: ["-y", "@looptech-ai/understand-quickly-mcp"] {
"McpServers": {
"looptech-ai-understand-quickly": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@looptech-ai/understand-quickly-mcp"
]
}
}
} assistant mcp add looptech-ai-understand-quickly -t stdio -c npx -a -y @looptech-ai/understand-quickly-mcp
{
"mcpServers": {
"looptech-ai-understand-quickly": {
"command": "npx",
"args": [
"-y",
"@looptech-ai/understand-quickly-mcp"
]
}
}
} 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.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 −2
- Stability: pass → 0.80 functional
- 15 Sept 26 0
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 −2
- Stability: pass → 0.80 functional
- 8 Sept 26 0
- Stability: 0.97 → pass security
- 7 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed npm/@looptech-ai/understand-quickly-mcp@0.1.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| 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 |
Background: How many MCP packages publish verified provenance →
Dependencies 95 packages
| Packages resolved | 95 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
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.
| Name | Type | Req | Description |
|---|---|---|---|
| github_url | string | – | GitHub URL (https or ssh form). Trailing .git, branches, and sub-paths are tolerated. |
| id | string | – | 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.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Registry 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.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | – | Exact match on entry.format (e.g. "understand-anything@1"). |
| status | string | – | Exact match on entry.status (typically "ok"). |
| tag | string | – | 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.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | – | Optional entry id. If given, scopes the search to that single graph (legacy node-level mode). |
| query | string | yes | Substring to search for (case-insensitive). |
No output schema declared.
No examples provided.
What is the io.github.looptech-ai/understand-quickly MCP server?
io.github.looptech-ai/understand-quickly is an MCP server listed in the public MCP registry as io.github.looptech-ai/understand-quickly. Public registry of code-knowledge graphs for AI agents with schema validation and drift detection. This page covers its npm package (@looptech-ai/understand-quickly-mcp).
Is the io.github.looptech-ai/understand-quickly MCP server safe to use?
io.github.looptech-ai/understand-quickly scores 92 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.looptech-ai/understand-quickly MCP server expose?
io.github.looptech-ai/understand-quickly exposes 4 tools: list_repos, get_graph, search_concepts, find_graph_for_repo. Their descriptions and schemas cost roughly 365 tokens of context every time the server is loaded.
Is the io.github.looptech-ai/understand-quickly MCP server still maintained?
io.github.looptech-ai/understand-quickly is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.