"Apache JMeter" matching MCP servers:

Enables building, maintaining, running, and reading reports for Apache JMeter test plans through typed MCP tools, without opening the GUI.

MCP server for generating, validating, running, and reporting Apache JMeter API performance tests from structured API sources.

Enables AI assistants to programmatically create, execute, and analyze Apache JMeter performance tests. It supports automated bottleneck detection, report generation, and distributed testing management through natural language.

Enables LLM agents to run self-healing JMeter performance tests via natural language, from environment setup to capacity discovery and SLO verdict reporting.

Enables the execution and analysis of JMeter performance tests through MCP-compatible clients. It provides tools for running tests in non-GUI mode, identifying performance bottlenecks, and generating comprehensive insights and visualizations from result files.

A Model Context Protocol server that allows AI assistants to execute and manage JMeter performance tests through natural language commands.

A Model Context Protocol server that enables execution of JMeter performance tests through AI assistants and MCP-compatible clients like Claude, Cursor, and Windsurf.

A Model Context Protocol server that enables executing and interacting with JMeter tests through MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

A powerful MCP server for automated JMeter test generation and execution with Docker integration and comprehensive performance analysis.

Converts non-functional requirements and code into secure, traceable JMeter performance tests with coverage analysis, plan generation, execution, and GitHub draft PRs.

Enables an AI assistant to turn a plain-language description into a working Apache NiFi 2.x flow, validate and layout the canvas, run test data, golden-file replays and diagnostics, and commit only verified versions to the NiFi Registry. It exposes 44 read-or-write tools for exploring, building, testing, debugging and releasing flows, staying read-only unless writes are explicitly enabled.

Enables an MCP client to control Android emulators and iOS simulators, capture app traffic through a proxy, mark journey steps, and generate validated, correlated, parameterised JMeter scripts from the recordings.