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Ask the Altronis AI advisor: grant-matched AI plans, SG AI events, news, ecosystem data. Read-only.
Ask the Altronis AI advisor: grant-matched AI plans, SG AI events, news, ecosystem data. Read-only.
This is a well-designed MCP server for read-only access to Altronis consulting APIs. The codebase demonstrates strong security practices: all operations are read-only with no mutation or lead capture, input validation is comprehensive via Zod schemas, and authentication relies on the backend Altronis API. Minor code quality issues around broad exception handling and logging do not materially impact security. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
7 files analyzed · 6 issues found
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Set these up before or after installing:
Environment variable: ALTRONIS_BASE_URL
Environment variable: ALTRONIS_TIMEOUT_MS
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sypherin-altronis-mcp": {
"env": {
"ALTRONIS_BASE_URL": "your-altronis-base-url-here",
"ALTRONIS_TIMEOUT_MS": "your-altronis-timeout-ms-here"
},
"args": [
"-y",
"@altronis/altronis-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP server and CLI for Altronis — Singapore AI consulting. It gives an AI agent (or you, from a shell) a set of read-only tools over the public altronis.sg endpoints: ask the Lyra consultant, generate a grant-matched AI transformation plan, and pull curated Singapore AI events, news, and business-formation data.
One codebase, two entry points:
altronis-mcp — a stdio MCP server for Claude Desktop, Claude Code, Cursor, and any MCP client.altronis — the same tools as a command-line tool.Read-only by design: no tool mutates anything or captures leads.
npm install -g @altronis/altronis-mcp
# or run without installing:
npx @altronis/altronis-mcp --help
Add it to your MCP client config. For Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"altronis": {
"command": "npx",
"args": ["-y", "@altronis/altronis-mcp"]
}
}
}
For Claude Code:
claude mcp add altronis -- npx -y @altronis/altronis-mcp
Then ask your agent things like "use altronis to draft an AI plan for a Singapore precision-manufacturing SME" or "what AI events are on in Singapore this month?".
altronis ask "does an on-prem LLM satisfy PDPA?"
altronis plan --sector manufacturing "40-person precision stamping SME, manual QC reports, uses Excel + WhatsApp"
altronis events 5
altronis news 5
altronis ecosystem
altronis services
altronis tool altronis_ask '{"question":"..."}' # call any tool by name
altronis list # list all tools
Output is JSON on stdout; logs go to stderr.
| Tool | What it does |
|---|---|
altronis_ask | Ask Agent Lyra, the Altronis consultant, an AI/strategy/governance/grants question. |
altronis_transformation_plan | Grant-matched AI transformation plan for a Singapore SME. sector = sport, manufacturing, or fnb. |
altronis_sg_ai_events | Upcoming AI events in Singapore (curated). |
altronis_sg_ai_news | Latest curated Singapore-relevant AI news. |
altronis_sg_ecosystem | Singapore business-formation + industry-mix snapshot (SingStat). |
altronis_services | Altronis's six service pillars, engagement model, and contact. |
| Env var | Default | Purpose |
|---|---|---|
ALTRONIS_BASE_URL | https://altronis.sg | Point at a different origin (e.g. staging or self-hosted). |
ALTRONIS_TIMEOUT_MS | 30000 | Per-request timeout. |
npm install
npm run build # tsc -> dist/
npm test # unit tests (mocked fetch)
npm run smoke # live integration test against altronis.sg
npm run dev # run the MCP server from source (tsx)
npm run cli -- ask "..." # run the CLI from source
MIT © Altronis (altronis.sg)
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