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Run self-healing JMeter performance tests and get capacity and SLO verdicts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "perfsage-jmeter-mcp" yet — see the docs or source repo.
Run a set of JMeter performance tests for my login API, gradually increase concurrency, automatically recover from failed steps, and return throughput, latency, and an SLO pass/fail verdict.
A performance test summary with key metrics, discovered capacity limits, and an SLO pass/fail verdict.
Starting from environment setup, run a JMeter load test to find the system's stable capacity limit and summarize the results afterward.
The tool handles setup-related steps, runs the test, and outputs the capacity limit and a result report.
Run a performance regression test on the core business flow after a new release, configure the test in natural language, and tell me whether the defined SLO is met.
A release-focused performance verdict describing key flow performance and whether the SLO was achieved.
Developers or DevOps engineers can launch JMeter performance tests in natural language before release, explore system capacity step by step, and get capacity limits with risk insights.
After a release, teams can quickly retest key flows and directly check whether the defined SLO targets are met.
When load tests are prone to interruption from failed steps, its self-healing capability can help continue the process and still produce a final verdict.
It is an MCP tool that lets LLM agents run self-healing JMeter performance tests through natural language. Its scope covers environment setup, capacity discovery, and SLO verdict reporting.
It is suited for load testing, capacity evaluation, and SLO-based result assessment. It is especially useful when you want to drive the testing workflow with natural language.
The provided material does not include installation steps, runtime details, or key requirements. For exact prerequisites, see the source repository.
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