JMeter
JMeter MCP Server provides a bridge between AI assistants and Apache JMeter, enabling execution of performance tests through natural language commands. The implementation offers tools to run JMeter tests in both GUI and non-GUI modes, with proper environment configuration and error handling. Built with Python using the FastMCP framework, it integrates with JMeter's command-line interface to execute test plans (.jmx files) and return detailed execution results, making it ideal for performance engineers who want to automate load testing workflows through conversational AI.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- file-system
- Source
- PulseMCP
- Repository
- github.com/qainsights/jmeter-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve JMeter from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.