bzm-mcp

Overview

The BlazeMeter MCP Server connects AI tools directly to BlazeMeter's cloud-based performance testing platform, allowing AI agents to manage complete load testing workflows from creation to execution and reporting. It provides multiple installation methods including binary downloads, source code installation with uv, and Docker deployment, making it accessible across various environments. The server supports BlazeMeter API credentials for authentication and offers integration with popular MCP hosts like VS Code, Claude Desktop, Cursor, and Windsurf.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

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Installation

{
  "mcpServers": {
    "BlazeMeter MCP": {
      "command": "uvx",
      "args": [
        "--from", "git+https://github.com/BlazeMeter/bzm-mcp.git@v1.0.1",
        "-q", "bzm-mcp", "--mcp"
      ],
      "env": {
        "BLAZEMETER_API_KEY": "/path/to/your/api-key.json"
      }
    }
  }
}

{
  "mcpServers": {
    "BlazeMeter MCP": {
      "command": "docker",
      "args": [
        "run",
        "--pull=always",
        "--rm",
        "-i",
        "-e", "API_KEY_ID=your_api_key_id",
        "-e", "API_KEY_SECRET=your_api_key_secret",
        "ghcr.io/blazemeter/bzm-mcp:latest"
      ]
    }
  }
}

FAQ

What do I need to get started?

You need BlazeMeter API credentials (API Key ID and Secret), a compatible MCP host (VS Code, Claude Desktop, etc.), and either Docker or Python 3.11+ with uv for installation.

How do I handle macOS security warnings?

When encountering a security alert on macOS, go to System Settings → Privacy & Security → Security, find the blocked application, and click 'Allow Anyway', then try running the binary again.

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