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Ask the Altronis AI consultant, estimate AI cost (cloud vs own box), SG AI events, news. Read-only.
About
Ask the Altronis AI consultant, estimate AI cost (cloud vs own box), SG AI events, news. Read-only.
Security Report
This is a well-architected, read-only MCP server that wraps public Altronis endpoints with appropriate input validation and error handling. The codebase demonstrates strong security practices: all tools are intentionally read-only (no mutations, no lead capture), inputs are validated with Zod schemas, network calls use configurable timeouts, and sensitive information is never logged. Minor code quality observations 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 · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: ALTRONIS_BASE_URL
Environment variable: ALTRONIS_TIMEOUT_MS
How to Install
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"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@altronis/altronis-mcp
MCP server and CLI for Altronis, the Singapore AI consultancy. 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, estimate what AI would cost a team (cloud vs owning the hardware vs hybrid, in SGD), and pull 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.
Install
npm install -g @altronis/altronis-mcp
# or run without installing:
npx @altronis/altronis-mcp --help
Use as an MCP server
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 estimate what AI would cost a 35-person law firm, cloud vs its own server" or "what AI events are on in Singapore this month?".
Use as a CLI
altronis ask "does an on-prem LLM satisfy PDPA?"
altronis cost --preset law-firm
altronis cost '{"power":5,"medium":20,"light":15,"horizon":36}'
altronis presets
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.
Tools
| Tool | What it does |
|---|---|
altronis_ask | Ask Agent Lyra, the Altronis consultant, an AI/strategy/governance/grants question. |
altronis_sg_ai_events | Upcoming AI events in Singapore, refreshed daily. |
altronis_sg_ai_news | Latest Singapore-relevant AI news. |
altronis_sg_ecosystem | Singapore business-formation + industry-mix snapshot (SingStat). |
altronis_services | Altronis's six service pillars, engagement model, grants, and contact. |
altronis_ai_cost_estimate | What AI would cost a team: cloud-only vs owning a private box vs hybrid, breakeven month, SGD. Same engine as altronis.sg/tools/tco. |
altronis_ai_cost_presets | ~50 industry presets (default user mix) to feed the cost estimate. |
Configuration
| 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. |
Develop
npm install
npm run build # tsc -> dist/
npm test # unit tests (mocked fetch)
npm run smoke # live integration test against altronis.sg
npm run drift # static facts + /mcp tool list still match the live site
npm run dev # run the MCP server from source (tsx)
npm run cli -- ask "..." # run the CLI from source
License
MIT © Altronis (altronis.sg)
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