MCP Server

Let AI coding agents access your application monitoring data to increase their effectiveness.

Inspector MCP server allows AI clients to consume your application monitoring data through the Model Context Protocol.

What the Inspector MCP Server Actually Does

The MCP server creates a bridge between AI clients like Claude Desktop, Cursor, Windsurf, or Continue and your Inspector monitoring data. Your AI assistant gains access to performance metrics, error analyses, database queries, and application health indicators—all through natural language queries.

This integration supports the most popular AI-powered development environments:

• Claude Desktop for general development assistance

• Cursor and Windsurf for AI-powered code editing

• Continue for open-source AI coding assistance

• Codeium for autocomplete and code generation

Rather than switching between multiple tools, you maintain a single conversation thread where coding questions and production monitoring blend seamlessly.

Getting Started

Setting up the Inspector MCP server requires minimal configuration. Navigate to your application Settings in the Inspector dashboard to copy the proper configuration.

Here is an example of how it looks like:

{
  "mcpServers": {
    "inspector": {
      "url": "https://app.inspector.dev/mcp?app=YOUR_APP_ID"
    }
  }
}

The setup process involves:

1. Create an API Key from your account: API Key

2. Adding the server configuration to your AI client

3. Use your personal API Key as the Authorization token

Verify the connection with a simple prompt, like: “Are there errors in the app production environment?”

Once connected, your AI assistant gains access to comprehensive monitoring data, including performance metrics, errors, bug fix suggestions, database query analysis, etc.