Ai Workplace Digital Twin

v1.0.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):

{
  "mcpServers": {
    // your other mcp servers
    "ai-workplace-digital-twin": {
      "url": "https://test-1-6a59d-neural-nexus-amrita-university-amritapuri-campus-1.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

Connect Claude to your data and tools. Learn more about connectors or get started with pre-built ones.

Advanced settings

Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won't change.

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Configure custom tools directly via ChatGPT's Web UI:

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Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):

{
  "mcpServers": {
    // your other mcp servers
    "ai-workplace-digital-twin": {
      "serverUrl": "https://test-1-6a59d-neural-nexus-amrita-university-amritapuri-campus-1.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml):

[mcp_servers.ai-workplace-digital-twin]
url = "https://test-1-6a59d-neural-nexus-amrita-university-amritapuri-campus-1.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint:

https://test-1-6a59d-neural-nexus-amrita-university-amritapuri-campus-1.app.nitrocloud.ai/mcp

Available Tools

startMonitoring

Start continuous live polling of enterprise SaaS systems (GitHub, Jira, Datadog, Calendar) every 30 seconds.

stopMonitoring

Stop continuous live polling of enterprise SaaS systems.

getMonitoringStatus

Get the active status of SaaS polling, last run timestamp, and recent Gmail/Slack alerts.

getCompanyHealth

Get the live AI Workplace Digital Twin dashboard: overall company health score, per-department health, open incidents, and top recommendations.

getEngineeringHealth

Get the detailed engineering health report computed from weighted metrics (Deployment Success 25%, CI/CD Success 20%, Sprint Health 20%, Issue Rate 15%, Infrastructure 20%).

getIncidentReport

Get the complete analysis for one incident: timeline, root cause, confidence, affected systems, business impact and recommendations. Renders the incident detail view.

getRecommendations

Get prioritized AI recommendations (high/medium/low). Optionally scoped to one incident. Exposes Approve/Reject actions.

approveRecommendation

Action Agent: approve and execute a recommended action through its designated MCP server.

rejectRecommendation

Action Agent: reject a recommended action, marking it as rejected in the timeline.

triggerIncident

Hackathon Simulator: Trigger one of the 10 supported incident scenarios to observe how the LangGraph multi-agent pipeline reasons and mitigates in real-time.

executiveChat

Executive Copilot: Ask natural-language operational questions like "Why is engineering health low?", "Summarize today's risks", etc.

getAgentActivity

Show the live multi-agent execution pipeline (Monitoring -> Engineering -> Executive -> Action) and agent logs.

get_company_health

Legacy alias for getCompanyHealth.

list_incidents

List active incidents.

get_incident

Legacy alias for getIncidentReport.

approve_action

Legacy alias for approveRecommendation.

get_agent_activity

Legacy alias for getAgentActivity.

tool_name