io.github.sypherin/altronis-mcp
NPM · @ALTRONIS/ALTRONIS-MCP · SCANNED AUG 3
Ask the Altronis AI advisor: grant-matched AI plans, SG AI events, news, ecosystem data. Read-only.
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 15 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 588 tokens (~98/item across 6 items; 6 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 · @altronis/altronis-mcp
claude mcp add sypherin-altronis-mcp -- npx -y @altronis/altronis-mcp
codex mcp add sypherin-altronis-mcp -- npx -y @altronis/altronis-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"sypherin-altronis-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@altronis/altronis-mcp"
],
"enabled": true
}
}
} openclaw mcp add sypherin-altronis-mcp --command npx --arg -y --arg @altronis/altronis-mcp
mcp_servers:
sypherin-altronis-mcp:
command: "npx"
args: ["-y", "@altronis/altronis-mcp"] {
"mcpServers": {
"sypherin-altronis-mcp": {
"command": "npx",
"args": [
"-y",
"@altronis/altronis-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 +30
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Security disclosure: fail → unverified ▼ functional
- MCP protocol: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Schema quality: unverified → excellent ▲ functional
- Licence: MIT functional
- 1 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 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
- 30 Jul 26 −22
- Tool coverage: 100 → unverified ▼ functional
- 28 Jul 26 +22
- Tool coverage: unverified → 100 ▲ functional
- First check of Schema quality: fail functional
- First check of Tool coverage: 100 functional
- First check of Schema quality: unverified functional
- First check of Schema quality: pass 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/@altronis/[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.
altronis_ask ~131
Ask Agent Lyra, Altronis's AI consultant, a question about applying AI in a Singapore business: our services, private/on-prem LLM deployment, AI governance (PDPA/MAS/MOH), SG AI grants, or build-vs-buy. Returns a short consultant-style answer. Use for open questions; use altronis_transformation_plan when you want a structured, grant-matched plan for a specific business.
| Name | Type | Req | Description |
|---|---|---|---|
| question | string | yes | A question about AI for a Singapore business, Altronis's services, private/local LLMs, SG AI grants, or governance. |
No output schema declared.
No examples provided.
altronis_services ~74
What Altronis offers: the six service pillars (agentic AI, AI governance, private LLM deployment, knowledge management, AI strategy, AI rescue), engagement model, pricing shape, and contact details. Static positioning info — no live call. Use to explain who Altronis is or how to engage them.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
altronis_sg_ai_events ~76
List upcoming AI events, meetups, and conferences in Singapore, curated by Altronis. Returns event title, date (SGT), venue, city, and a link. Use when someone asks what AI events are happening in Singapore.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | — | Max items to return (default 10). |
No output schema declared.
No examples provided.
altronis_sg_ai_news ~65
Latest curated Singapore-relevant AI news headlines, aggregated by Altronis. Returns headline, source URL, and id. Use when someone asks for recent AI news in or affecting Singapore.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | — | Max items to return (default 10). |
No output schema declared.
No examples provided.
altronis_sg_ecosystem ~61
Singapore business-formation and industry-mix snapshot (from SingStat) that Altronis uses to frame the SG AI ecosystem: total new company formations and the top industries by formation count. Use for context on Singapore's business landscape.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
altronis_transformation_plan ~181
Generate a quick, grant-matched AI transformation plan for a specific Singapore SME in a supported sector (sport, manufacturing, or fnb). Give the sector and a concrete business description; returns a structured plan (summary, top pain, suggested next steps / tools). This is Altronis's signature advisor flow. For sectors without a specialist, use altronis_ask instead.
| Name | Type | Req | Description |
|---|---|---|---|
| business | string | yes | A few sentences on the business: what they do, size, biggest pain, current tools, and AI maturity. The more concrete, the better the plan. |
| sector | string | yes | The business sector. Only these have a specialist advisor: 'sport' (gyms, studios, academies), 'manufacturing' (precision, engineering, F&B manufacturing), 'fnb' (food & beverage / food services). |
No output schema declared.
No examples provided.