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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use BlazeMeter with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Automate continuous performance testing via BlazeMeter. manage workspaces, trigger load tests, and analyze active run metrics securely via AI.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete BlazeMeter capability set.

These are the exact actions your AI can choose when you ask it to work with BlazeMeter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through BlazeMeter.

  1. 01

    Get report

    Inspect deep internal arrays mitigating specific Plan Math Reports

  2. 02

    Get user

    Identify precise active arrays spanning native Identity parsing

  3. 03

    Stop master

    Identify precise active arrays spanning native Gateway shutdown logic

  4. 04

    List projects

    Perform structural extraction of Projects bounded to a Workspace

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through BlazeMeter.

  1. 05

    List tests

    Provision a highly-available JSON Payload extracting bound Tests

  2. 06

    List workspaces

    Identify bounded Workspace records inside the Headless BlazeMeter Platform

  3. 07

    Get test

    Retrieve explicit configuration tracing an active Vault limit Test

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through BlazeMeter.

  1. 08

    Start test

    Irreversibly execute explicit load generation validations spanning rich metrics

  2. 09

    Get master

    Dispatch an automated validation check routing explicit Gateway run status

  3. 10

    List masters

    Enumerate explicitly attached structured rules exporting active Master records

Observed, not estimated

853ms average. Fast in production.

BlazeMeter is checked daily against the live service.

Daily averagePeak 1035ms
Aug 20Today
Fastest day
691ms
Slowest day
1035ms
14-day trend
Slowing+19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of BlazeMeter, so you can see the experience inside your AI.

It does not authenticate your account with BlazeMeter. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

BlazeMeter Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — BlazeMeter capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "blazemeter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions BlazeMeter owners ask.

  • 01

    Can my agent actually start a cloud performance test orchestrating servers?

    Yes. By utilizing the 'start_test' capability 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.

  • 02

    How do I check the live status of an active test run (Master)?

    You can instruct your agent to use the 'get_master' or 'get_report' capability. It strictly evaluates live Gateway stats, throughput rates, and p90 indicators dynamically reporting back.

  • 03

    Is there a way for the AI to forcefully kill a rogue load test?

    Absolutely. Your agent can execute the 'stop_master' mutation—which immediately severs the test execution pipeline and protects vulnerable origin servers from unplanned stress.

Explore

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