io.github.uchit/aipatterns-mcp-server
NPM · AIPATTERNS-MCP-SERVER · SCANNED AUG 3
Search AU enterprise AI patterns, benchmarks, incidents, and regulatory changes.
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 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 & 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 30 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 465 tokens (~93/item across 5 items; 5 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
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 · aipatterns-mcp-server
claude mcp add uchit-aipatterns-mcp-server -- npx -y aipatterns-mcp-server
codex mcp add uchit-aipatterns-mcp-server -- npx -y aipatterns-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"uchit-aipatterns-mcp-server": {
"type": "local",
"command": [
"npx",
"-y",
"aipatterns-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add uchit-aipatterns-mcp-server --command npx --arg -y --arg aipatterns-mcp-server
mcp_servers:
uchit-aipatterns-mcp-server:
command: "npx"
args: ["-y", "aipatterns-mcp-server"] {
"mcpServers": {
"uchit-aipatterns-mcp-server": {
"command": "npx",
"args": [
"-y",
"aipatterns-mcp-server"
]
}
}
} 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 +4
- Stability: unverified → 0.23 ▲ functional
- 2 Aug 26 +44
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Security disclosure: fail → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Schema quality: unverified functional
- Licence: MIT functional
- 31 Jul 26 −7
- 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
- 27 Jul 26 46
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/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
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.
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.
get_incidents ~92
Retrieve notable Australian AI incidents. Useful for understanding real-world failures, regulatory enforcement actions, and which patterns could have prevented the incident.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | — | Maximum number of incidents to return (default 5) |
| sector | string | — | Filter by sector: banking, insurance, government, retail, healthcare, utilities |
| severity | string | — | Filter by severity: critical, high, medium, low |
No output schema declared.
No examples provided.
get_pattern ~62
Retrieve full detail of a specific AI pattern from aipatterns.com.au, including implementation guidance and regulatory context. Use the slug returned by search_patterns.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | Pattern slug, e.g. "agentic-ai/agent-checkpoint-and-recovery" |
No output schema declared.
No examples provided.
get_regulatory_changes ~107
Retrieve recent and upcoming Australian AI regulatory changes (APRA, OAIC, ASIC, TGA, Privacy Act reform). Useful for understanding compliance obligations when building AI systems for the Australian market.
| Name | Type | Req | Description |
|---|---|---|---|
| impact_level | string | — | Filter by impact level: critical, high, medium, low |
| limit | number | — | Maximum number of changes to return (default 5) |
| regulator | string | — | Filter by regulator abbreviation: APRA, OAIC, ASIC, TGA |
No output schema declared.
No examples provided.
get_sector_benchmark ~79
Get the AU AI Maturity Index benchmark score for a specific sector. Returns overall score, dimension scores (adoption, governance, investment, incidents), sector rank, and national averages. Scores computed from Q2 2026 evidence base.
| Name | Type | Req | Description |
|---|---|---|---|
| sector | string | yes | One of: banking, insurance, government, retail, healthcare, utilities |
No output schema declared.
No examples provided.
search_patterns ~125
Search the aipatterns.com.au AI pattern library. Returns matching patterns with slug, title, description, maturity level, and category. Useful for finding design patterns relevant to a specific AI use case, capability, or compliance concern.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | — | Optional category filter (e.g. agentic-ai, governance, security, rag, observability, compliance, human-in-the-loop) |
| maturity | string | — | Optional maturity filter (e.g. production, beta, experimental) |
| query | string | yes | Search term to match against pattern title, description, or content |
No output schema declared.
No examples provided.