Siyana gives your AI assistant real facilities-management know-how — equipment specs, fault fixes and PPM schedules across HVAC, electrical and plumbing, tuned for the Gulf. It's an open knowledge base, not a platform to log into.
npx siyana Siyana knows your equipment, systems, weather, best practices & resources.
Specs, fault fixes and the right maintenance frequency for this climate live in manuals, spreadsheets and tribal know-how. Siyana puts that knowledge one question away for your team — and keeps it growing.
GCC heat, dust & hard-water realities baked into every PPM frequency and fault note — not generic global data.
An open knowledge base your team taps through the AI they already use — nothing new to log into or operate.
A living knowledge base. Anyone can request or contribute equipment, brands, trades or regions.
Whether a human asks through their AI, or software calls it programmatically, Siyana is the shared facilities-management knowledge layer underneath.
Technicians, supervisors and facility managers ask their AI on site — "PPM for this chiller?", "why is it tripping?" — and get cited, region-tuned answers without digging through manuals.
Product teams plug Siyana in as the FM knowledge layer — enrich asset onboarding, work orders and PPM libraries with open, cited, region-tuned data. No in-house data team required.
Maintenance copilots and agents call Siyana's MCP tools to ground their answers in real FM knowledge — the domain brain behind the bot, over standard MCP.
Equipment and brands are live today; services, resources and benchmarks are rolling out — all region-scoped and community-grown.
…and growing. Each model links to its OEM's official manual. Missing a brand? Add it →
Specs, PPM checklists and fault diagnosis for HVAC, electrical & plumbing — organised by category → brand → model, cited to standards and the OEMs' official manuals.
Hard & soft services — housekeeping, glass cleaning, fire & life-safety, BMS — with scope, best practice and the tools/materials each needs.
FM roles — supervisor, HVAC technician, plumber… — with competencies, experience levels and indicative market rates.
By facility type — office, industrial, healthcare, retail — maintenance frequencies and performance benchmarks to sense-check a plan.
The kind of things your team actually asks on site, answered with cited, region-tuned guidance.
list_asset_categories See what the knowledge base covers.
search_assets Find equipment by keyword, brand or model.
get_asset_spec Specs + cited brand/model sheets & manuals.
get_ppm_schedule Region-tuned PPM tasks & frequencies.
get_fault_resolution Symptom → likely causes → fix → safety.
get_weather Live conditions, forecast & dust for a site.
get_maintenance_advisory Forecast → proactive maintenance actions.
estimate_cooling_energy Climate-aware cooling estimate (a helper, not a bill).
The five knowledge tools work fully offline; the three weather tools add live context (disable with SIYANA_OFFLINE=1).
Siyana reads the forecast and helps your team prioritise the right tasks before the weather hits.
Each region is its own dataset; scope a server with SIYANA_REGION. Adding a market is additive — a new folder, no rebrand.
Siyana grows with the FM community — no coding required. Open a templated issue and a contributor fills it; ships in the next release.
Node 18+. Runs over stdio, no key, no config.
{
"mcpServers": {
"siyana": { "command": "npx", "args": ["-y", "siyana"] }
}
}Then ask: "What's the PPM schedule for a Daikin VRV in Dubai?"