JMeter MCP Server
An MCP server for generating, validating, running, and reporting Apache JMeter API performance tests from structured API sources.
The project is designed for SDETs and automation engineers who want LLM-assisted test-plan creation without letting the LLM write arbitrary JMX. The LLM supplies structured MCP tool arguments; TypeScript code validates the input, applies deterministic load policies, renders JMX, and validates the generated file.
Features
- Generate JMeter
.jmxplans from OpenAPI files or explicit endpoint details. - Deterministic test profiles:
smoke,baseline,load,spike,stress,soak, andcustom. - Zod-validated MCP tool inputs.
- Guardrails for aggressive load, documented rate limits, and profile mismatch.
- Runtime parameterization for credentials with JMeter properties such as
${__P(API_KEY,)}. - OS-agnostic JMeter binary resolution through
JMETER_BIN,JMETER_HOME, orjmeteronPATH. - TypeScript runner scripts for individual JMX files, suites, and JTL summary reports.
- GitHub Actions CI for strict TypeScript build and guardrail tests.
Prerequisites
- Node.js
>=22 - npm
- Apache JMeter
5.6.xor compatible - Java supported by your JMeter installation
JMeter can be discovered in one of three ways:
export JMETER_BIN=/absolute/path/to/jmeter
or:
export JMETER_HOME=/absolute/path/to/apache-jmeter
or by having jmeter available on PATH.
Install
npm ci
npm run build:all
npm test
MCP Usage
Build the server:
npm run build
Configure your MCP client to run:
node /absolute/path/to/jmeter-mcp-server/build/index.js
Or use a short command after linking the package locally:
npm link
jmeter-mcp-server
See docs/MCP_CLIENTS.md for Claude, Claude Code, VS Code/Copilot-style, Continue-style, and generic MCP client examples.
Use the high-level tool for deterministic generation:
create_test_plan_from_api_source
Prefer this high-level tool over step-by-step JMX edits. It validates inputs, applies load-profile policy, renders a complete plan, and validates the generated JMX.
Test Profiles
| Profile | Users | Ramp-up | Loops | Duration | Notes |
|---|---|---|---|---|---|
smoke |
1 | 1s | 1 | none | Minimal validation |
baseline |
5 | 5s | 1 | none | Safe default |
load |
10 | 30s | 3 | none | Moderate load |
spike |
25 | 1s | 1 | none | Requires allowAggressiveLoad=true |
stress |
50 | 60s | 5 | none | Requires allowAggressiveLoad=true |
soak |
5 | 60s | forever | 1800s | Requires allowAggressiveLoad=true |
custom |
required | optional | optional | optional | Fully explicit |
Deterministic profiles reject mismatched overrides. For example, testProfile=baseline with users=6 fails. Use testProfile=custom when you need custom values.
Guardrails
The generation path is intentionally constrained:
LLM request
-> MCP tool schema
-> Zod validation
-> deterministic profile policy
-> source parsing
-> normalized test plan model
-> JMX renderer
-> generated JMX validation
-> output file
The MCP rejects:
- missing
usersforcustomprofiles - deterministic profile overrides that do not match policy
- aggressive profiles without
allowAggressiveLoad=true - estimated request rates above a documented OpenAPI rate limit unless explicitly allowed
- malformed headers, placeholder hosts, unsupported protocols, and incomplete request body metadata
Generated JMX validation checks required JMeter components, thread settings, loop settings, duration settings, endpoint target, headers, variables, assertions, and result collectors.
Credentials And Variables
Do not commit .env.
Copy the example locally:
cp .env.example .env
Generated JMX files use JMeter properties and do not need secrets embedded:
${__P(API_KEY,)}
${__P(OAUTH_CLIENT_ID,)}
${__P(OAUTH_CLIENT_SECRET,)}
At runtime, pass values through JMeter properties or set JMETER_ENV_FILE:
JMETER_ENV_FILE=.env npm run jmeter:run -- jmeter/API_Test_Plan_4th_API.jmx results/local-run
Scripts
Build:
npm run build:all
Run guardrail tests:
npm test
Generate JMX suite from OpenAPI:
npm run generate:jmeter:suite -- openapi.yaml jmeter 5
Run one JMX:
npm run jmeter:run -- jmeter/API_Test_Plan_1st_API.jmx results/local-run
Run a suite:
npm run jmeter:suite -- jmeter results/suite
Generate a suite report from JTL files:
npm run jmeter:report -- results/suite/<run-directory>
Rate Limits And Public APIs
Do not run aggressive tests against public or third-party APIs unless the API owner explicitly allows it.
For public practice APIs, prefer smoke or baseline. Profiles such as spike, stress, and soak require explicit opt-in through allowAggressiveLoad=true.
Repository Hygiene
Ignored by default:
.env,.env.*.continue/,.vscode/node_modules/build/results/*.log*.jtl
Commit-worthy files are source, configuration, docs, workflows, OpenAPI examples, and intentional JMX examples.
Development
npm ci
npm run build:all
npm test
CI runs:
npm run ci
which performs a strict TypeScript build and guardrail tests.
Status
This project is suitable for early public adoption by SDETs who are comfortable with MCP, JMeter, and TypeScript. The core guardrails are deterministic and tested. Additional API source adapters such as Postman collections, HAR files, or GraphQL schemas can be added behind the existing adapter interfaces.