k6-mcp-server is a Python-based MCP server that enables AI assistants to execute k6 load testing scripts through natural language commands. The implementation provides tools for running performance tests with configurable parameters like duration and virtual user count, handling script validation and execution via subprocess calls to the k6 binary. Developed by QAInsights, it bridges the gap between conversational AI and performance testing workflows, allowing users to initiate and analyze load tests without directly interacting with the command line interface.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.