MCP K6, developed by Grafana, is a server tool built with Go, connecting the k6 open-source load testing tool with AI assistants and LLM clients. It functions as a Model Context Protocol server, enabling AI to interact with k6 functionalities for performance testing workflows. Distribution methods include Docker, Homebrew for macOS, pre-built Linux packages, native installation requiring Go 1.24.4+, and as a k6 subcommand via xk6. This tool enhances developer, QA, and DevOps team capabilities by integrating AI into testing processes.

What does MCP K6 connect to?

MCP K6 serves as a crucial link between AI assistants and the k6 open-source load testing tool. It operates as an MCP server, specifically engineered to expose various k6 functionalities to intelligent clients like LLMs. This connection allows AI to directly interface with and control aspects of performance testing, moving beyond simple scripting to more dynamic interactions. The server acts as an intermediary, translating AI requests into actionable k6 commands.

Core features and tools

MCP K6 exposes several callable tools designed for AI interaction. These include info for system details, validate_script to check k6 script integrity, and run_script for executing performance tests. Further capabilities are list_sections to explore script structure, get_documentation for fetching k6 information, and generate_script for creating new test scripts from natural language. These tools empower AI clients to manage and perform k6-based testing tasks.

Who is it for?

This server is designed for developers, QA engineers, and DevOps teams who incorporate AI assistants into their performance testing practices. It is particularly useful for those seeking to automate script validation, generation, and execution using intelligent agents. Confirmed compatible AI clients include Claude Code, Cursor, GitHub Copilot, Codex CLI, OpenCode, Cline, Claude Desktop, and Windsurf. Skip this if you do not use AI assistants for k6 performance testing.

How to get started

No credentials are required for its local operation. When interacting with Grafana Cloud k6, it relies on the login status managed by the underlying k6 CLI. It supports the stdio transport protocol by default.

Use cases

• AI assistants can validate k6 scripts for syntax and runtime errors, ensuring script correctness before execution.
• AI assistants can generate k6 test scripts from natural language requirements, speeding up script creation.
• AI assistants can run k6 performance tests locally with configurable parameters, automating test execution.

MCP K6 from Grafana bridges AI assistants with k6 load testing, providing an interface for automating key performance testing tasks. It simplifies script management, validation, and execution through AI integration, supporting various development and operations workflows. This server enhances efficiency for teams utilizing AI in their testing pipelines.