io.github.shea256/aiiq-mcp
NPM · @AIIQ/MCP · SCANNED AUG 3
Query AI IQ (aiiq.org) model IQ, rankings, benchmarks, and methodology.
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 →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), 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 (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 23 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability63
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 301 tokens (~33/item across 9 items; 9 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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 · @aiiq/mcp
claude mcp add shea256-aiiq-mcp -- npx -y @aiiq/mcp
codex mcp add shea256-aiiq-mcp -- npx -y @aiiq/mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"shea256-aiiq-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@aiiq/mcp"
],
"enabled": true
}
}
} openclaw mcp add shea256-aiiq-mcp --command npx --arg -y --arg @aiiq/mcp
mcp_servers:
shea256-aiiq-mcp:
command: "npx"
args: ["-y", "@aiiq/mcp"] {
"mcpServers": {
"shea256-aiiq-mcp": {
"command": "npx",
"args": [
"-y",
"@aiiq/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.
- 2 Aug 26 +27
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Schema quality: unverified → good ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Licence: MIT functional
- 1 Aug 26 +31
- Malware scan: unverified → pass ▲ security
- Tool coverage: unverified → 100 ▲ functional
- 31 Jul 26 −23
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 28 Jul 26 +22
- Tool coverage: unverified → 100 ▲ functional
- First check of Schema quality: unverified functional
- First check of Schema quality: pass functional
- First check of Schema quality: fail functional
- First check of Tool coverage: 100 functional
- 27 Jul 26 24
First indexed and scored.
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/@aiiq/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
compare_models Compare models ~43
Side-by-side detail for several models by id/name. Unknown ids are reported, not fatal.
| Name | Type | Req | Description |
|---|---|---|---|
| ids | array | yes | Two or more model ids/names to compare |
No output schema declared.
No examples provided.
get_domain Get domain detail ~40
Composite model IQs and benchmark leaderboards for one applied-capability domain.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | Domain slug, e.g. 'cybersecurity' |
No output schema declared.
No examples provided.
get_methodology Get methodology ~21
How AI IQ is computed (methodology version + summary).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_model Get model detail ~48
Full detail for one model by id/name, including per-benchmark results and dimension coverage.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Model id or name, e.g. 'gpt-5.5' |
No output schema declared.
No examples provided.
get_ranking Get ranking ~46
The ordered models for one ranking id (from list_rankings).
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Ranking id, e.g. 'composite-iq' or 'coding-iq' |
No output schema declared.
No examples provided.
list_benchmarks List benchmarks ~22
Benchmark catalog with descriptions, dimensions, directions, and units.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_domains List domains ~18
Applied-capability domains with benchmark counts and URLs.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_models List models ~29
All public AI models with IQ, the 7 dimension scores, emotional reasoning, rank, and cost.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_rankings List rankings ~34
Available leaderboards: composite IQ, effective cost, per-dimension, and per-benchmark, with model counts and URLs.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.