QAInsights/k6-mcp-server

k6 MCP server

34
/ 100
Emerging

Implements the Model Context Protocol to expose k6 load testing as LLM-callable tools, enabling AI assistants to execute and analyze performance tests directly. Built in Python with stdio transport for MCP integration, it provides two configurable tools for running tests with custom duration and virtual user parameters while streaming real-time execution output. Designed to work with Claude Desktop, Cursor, and other MCP-compatible clients for LLM-driven test orchestration and debugging.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 17 / 25

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Stars

24

Forks

8

Language

Python

License

MIT

Last pushed

Apr 06, 2025

Commits (30d)

0

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