MCP For Claude Marketplace
BlazeMeter

BlazeMeter MCP Connector for Claude

A+

Automate continuous performance testing via BlazeMeter — manage workspaces, trigger load tests, and analyze active run metrics securely via AI.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your BlazeMeter API credentials to any AI agent and integrate enterprise load testing natively into your DevOps and QA workflows.

What you can do

  • Infrastructure Management — List thoroughly your bounded Workspaces, Projects, and structural user metadata.
  • Test Operations — Discover configured JMeter definitions and dynamically start active cloud-based performance hosts to execute load scaling securely.
  • Live Run Monitoring — Query the operational health of live "Master" runs, fetch precise throughput reports (p90/p99 KPIs), and monitor active limits.
  • Emergency Controls — Forcefully shut down runaway active cloud connections to protect source architecture during testing.

How it works

  1. Subscribe to this server
  2. Enter your BlazeMeter Key ID and Secret
  3. Seamlessly control load testing arrays from Claude, Cursor, or any MCP-compatible environment

Who is this for?

  • Site Reliability Engineers (SREs) — trigger rapid baseline tests and monitor p99 health metrics dynamically without switching contexts.
  • QA Automation Teams — query active JMeter testing structures securely via chat during CI/CD cycles.
  • DevOps Engineers — abruptly stop rogue master runs securely via natural language, safely isolating operational networks.
performance-testingload-testingstress-testingcontinuous-testingqa-automationinfrastructure-monitoring

10 tools expose this connector's capabilities to your AI agent.

list_workspaces

Identify bounded Workspace records inside the Headless BlazeMeter Platform

list_projects

Perform structural extraction of Projects bounded to a Workspace

list_tests

Provision a highly-available JSON Payload extracting bound Tests

get_test

Retrieve explicit configuration tracing an active Vault limit Test

start_test

Irreversibly execute explicit load generation validations spanning rich metrics

list_masters

Enumerate explicitly attached structured rules exporting active Master records

get_master

Dispatch an automated validation check routing explicit Gateway run status

stop_master

Identify precise active arrays spanning native Gateway shutdown logic

get_report

Inspect deep internal arrays mitigating specific Plan Math Reports

get_user

Identify precise active arrays spanning native Identity parsing

See how to talk to your AI agent using BlazeMeter.

List the performance testing projects inside Workspace ID `123456`.

I queried your BlazeMeter workspace. Here are the active projects discovered: - 'Core Backend API Stress' (ID: 9942) - 'Frontend Cache Bypass Load' (ID: 9945).

Trigger a new execution for load Test ID `987654`.

Understood. I executed a `POST` operation onto `api/v4/tests/987654/start`. The BlazeMeter orchestration engines are now dynamically spinning up the performance nodes (Master ID: `m-11223`).

Stop the actively running Master test ID `m-11223` immediately.

Emergency stop validated. The REST sequence transmitted a shutdown instruction correctly severing connections and scaling down the Master load orchestrator (`m-11223`).

Yes. By utilizing the 'start_test' tool paired with an active Test ID, your AI agent securely pulls levers directly on BlazeMeter's cloud infrastructure to provision load generation hosts without any required GUI interaction.

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