A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"factory-supervisor-mcp-server": {
"url": "https://factory-supervisor-mcp-6a6da25e-4bidden-srmist.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"factory-supervisor-mcp-server": {
"serverUrl": "https://factory-supervisor-mcp-6a6da25e-4bidden-srmist.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.factory-supervisor-mcp-server] url = "https://factory-supervisor-mcp-6a6da25e-4bidden-srmist.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://factory-supervisor-mcp-6a6da25e-4bidden-srmist.app.nitrocloud.ai/mcp
Diagnostic health check ping tool for Factory Supervisor MCP Server
Get status details for a specific machine by machineId
List all factory machines and their current state
Get total inventory stock levels for all parts
Get inventory items where available stock is at or below reorder level
Get factory production orders
Get factory maintenance logs and history
Get factory production schedule
Get key performance indicators (KPIs) for the factory
Consolidates data across all factory modules (machines, inventory, orders, maintenance, schedule, KPIs) and generates severity levels, health score (0-100), natural language summary, risk classification, impact score, and recommendations.
Predicts failure probability, health score, estimated failure time window, and recommended actions for a machine based on sensor telemetry.
Forecasts stockout date, days remaining, inventory risk level, and recommended reorder quantity for inventory parts.
Estimates completion time, confidence score, and delay risk for a given production order.
Detects active and impending production bottlenecks across machines, inventory, and shifts.
Predicts overall factory health score trends for today and tomorrow based on operational indicators.
Natural language AI supervisor assistant that routes user questions to appropriate analytics and predictive MCP tools to generate actionable answers.
Generates a concise daily supervisor briefing highlighting overall factory health, top operational risks, and priority actions.
Prepare a high-level business summary for leadership covering production targets, efficiency rates, cost impact, and strategic recommendations. Ideal for executive dashboards and board meetings.
Generate a comprehensive overview of factory operations for the current shift, including production metrics, active machines, and pending alerts. Perfect for shift handovers and daily standup meetings.
Investigate root causes of production delays, identify bottlenecks, and recommend corrective actions with timeline impact. Essential for delay mitigation and process improvement.
Assess equipment condition, predict maintenance needs, and flag machines requiring immediate attention. Critical for preventive maintenance and equipment lifecycle management.
Evaluate stock levels, identify supply chain risks, and forecast shortages that could impact production schedules. Essential for supply chain planning and risk mitigation.