MCP Server (AI Integration)

Seamlessly integrate your telemetry data with advanced Large Language Models like Claude or Cursor IDE. The Model Context Protocol (MCP) server exposes 50+ read-only tools spanning every pillar — APM, RUM, Logs, Uptime, Infrastructure, Databases, Queues, Errors, Alerts & Incidents, AI Monitoring and Billing — plus built-in investigation prompts (root-cause, incident triage, AI cost review) and addressable resources, so an agent can query, correlate and summarize your observability data in natural language. Connections use the modern Streamable HTTP transport.

Prerequisites

  • An active Senzor workspace with existing telemetry.
  • An MCP-compatible client (Cursor IDE, Claude Desktop, or any Streamable HTTP client).

1. Dashboard Configuration

Before injecting code into your application, you must provision an API key from the Senzor dashboard.

1

Generate MCP Key

Navigate to AI Integrations in the dashboard and generate a dedicated MCP API Key. Keys are hashed at rest, shown once, and revocable at any time.

2

Connect & Explore

Add the server to your client using the configuration below. Your agent can then list every tool, read resources, and run the built-in investigation prompts as slash-commands.

2. SDK Installation

Select your environment below to view the initialization code.

{
  "mcpServers": {
    "senzor": {
      "url": "https://api.senzor.dev/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_MCP_KEY>"
      }
    }
  }
}

Add this configuration to your Cursor settings under Features > MCP. Cursor auto-detects the Streamable HTTP transport.