AI Monitoring Platform & MCP

Enterprise AI Monitoring Platform Powered by MCP

Connect Claude Desktop, Cursor AI, ChatGPT, and Google Gemini directly to your live server telemetry, API endpoints, and uptime status using Anthropic Model Context Protocol (MCP).

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What is an AI Monitoring Platform?

An AI monitoring platform enables engineering teams to connect artificial intelligence assistants directly to live production infrastructure. Through standard protocols such as Model Context Protocol (MCP) and OpenAPI 3.0 specifications, AI agents can query real-time server telemetry, website uptime status, API response codes, and active outage incidents using natural language questions.

Instead of manually context-switching between monitoring dashboards and terminal logs, developers ask questions like “What is the current CPU utilization across production server agents?” or “Are there any unresolved API incident reports?” and receive verified, structured diagnostic data instantly.

Supported AI Clients & Models

Seamlessly query Monitor Hub infrastructure telemetry across desktop assistants, IDEs, and LLM APIs.

MCP SSE Protocol

Claude Desktop

Connect Claude Desktop directly to your live Monitor Hub infrastructure telemetry via Anthropic Model Context Protocol.

// Add to claude_desktop_config.json
{
  "mcpServers": {
    "monitorhub": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-fetch", "https://mcp.monitorhubs.com/sse"],
      "env": { "AUTHORIZATION": "Bearer mcp_sk_live_YOUR_KEY" }
    }
  }
}
MCP Protocol

Cursor AI IDE

Inspect real-time server metrics, API status codes, and active outages directly inside your Cursor editor window.

// Add to .cursor/mcp.json
{
  "mcp": {
    "servers": [
      {
        "name": "MonitorHub AI Platform",
        "url": "https://mcp.monitorhubs.com/sse",
        "headers": { "Authorization": "Bearer mcp_sk_live_YOUR_KEY" }
      }
    ]
  }
}
MCP Plugin

Continue.dev

Query infrastructure vitals and active incidents inside Continue VS Code or JetBrains extensions.

// Add to .continue/config.json
{
  "experimental": {
    "modelContextProtocol": [
      {
        "name": "MonitorHub",
        "url": "https://mcp.monitorhubs.com/sse",
        "headers": { "Authorization": "Bearer mcp_sk_live_YOUR_KEY" }
      }
    ]
  }
}
MCP IDE Extension

Cline & Windsurf & Roo Code

Native MCP tool definitions for autonomous coding agents running in Windsurf, Cline, or Roo Code.

// Add to mcp_settings.json
{
  "mcpServers": {
    "monitorhub": {
      "url": "https://mcp.monitorhubs.com/sse",
      "headers": { "Authorization": "Bearer mcp_sk_live_YOUR_KEY" }
    }
  }
}
OpenAPI 3.0 Action

ChatGPT Custom GPTs

Import our production OpenAPI 3.0 specification into ChatGPT Actions for instant natural language monitoring tools.

OpenAPI Spec URL:
https://mcp.monitorhubs.com/openapi.json

Authentication:
Type: Bearer Token (API Key)
Value: mcp_sk_live_YOUR_KEY
OpenAPI Function Declarations

Google Gemini API

Pass native Function Declarations to Gemini API models for automated infrastructure monitoring and health verification.

Function Declarations Schema:
https://mcp.monitorhubs.com/openapi.json

Gemini Python / Node SDK Compatible

Enterprise AI Security & Audit Governance

Connect AI assistants without sacrificing infrastructure control or exposing sensitive credentials.

Personal Access Tokens

Per-user keys prefixed with mcp_sk_live_ that can be issued, rotated, or revoked instantly.

SHA-256 Key Hashing

Raw API keys are displayed once upon creation and stored in database as SHA-256 hashes.

Scoped Permissions

Default mcp:read scopes strictly enforce read-only data access with zero write permissions.

Live Audit Trail Stream

Every tool invocation records execution latency, arguments, timestamp, and client IP.

Frequently Asked Questions about AI Monitoring

Can AI models modify or delete my production monitors?

No. All MCP tool functions exposed in Phase 1 are strictly read-only. Scopes enforce data inspection only (`mcp:read`).

How fast are server telemetry updates delivered to AI clients?

Telemetry metrics are updated in real time. Server agents send resource metrics every 60 seconds, and Pro/Business uptime checks run every 30 seconds.

Where do I generate my MCP API key?

Log into your Monitor Hub Dashboard, navigate to Workspace Settings → AI Platform (MCP) tab, and click Generate MCP Key.

Start AI Monitoring Today

Equip Claude, Cursor, ChatGPT, and Gemini with verified infrastructure intelligence. Included in Pro & Business plans.

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