
Connect BlazeMeter to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and monitor enterprise load tests through your AI agent.
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.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 10 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 10 available through BlazeMeter.
- 01
Get report
This capability pulls detailed internal data from specific Plan Math Reports.
- 02
Get user
Use this to identify active user arrays through native identity parsing.
- 03
Stop master
This capability triggers a gateway shutdown to stop active master processes.
- 04
List projects
This capability extracts a list of all projects tied to a specific Workspace.
05-07
3 capabilities in this set.
Part of 10 available through BlazeMeter.
- 05
List tests
Use this to get a JSON payload containing all bound tests.
- 06
List workspaces
This capability identifies all Workspace records within your BlazeMeter account.
- 07
Get test
This capability retrieves specific configuration details for an active test.
08-10
3 capabilities in this set.
Part of 10 available through BlazeMeter.
- 08
Start test
Use this to trigger load generation and execute performance validations.
- 09
Get master
This capability checks the current status of a specific Gateway run.
- 10
List masters
This capability enumerates all active Master records and their attached rules.
Real work
What teams actually run
Rapid Baseline Testing
An SRE triggers a quick load test to verify system stability after a new deployment.
Emergency Load Mitigation
A DevOps engineer stops a runaway test that is putting too much pressure on the source architecture.
CI/CD Integration
A QA engineer queries active test results to validate a build's performance.
Real-time Metric Auditing
A developer asks the agent for specific throughput reports during a live stress test.
Automate a task
Put BlazeMeter to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
BlazeMeter works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put BlazeMeter to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
911ms average. Fast in production.
BlazeMeter is checked daily against the live service.
- Fastest day
- 729ms
- Slowest day
- 1271ms
- 14-day trend
- Stable0%
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.
https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — BlazeMeter capabilities are ready to use.
{
"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
Guided setup for Claude? Set up BlazeMeter in Claude and other AIs
Who it's for
Built for the work BlazeMeter owners hand off.
This MCP is built for technical teams managing high-scale performance testing and infrastructure stability.
- 01
Site Reliability Engineers
They use the agent to trigger baseline tests and monitor p99 health metrics.
- 02
QA Automation Teams
They query JMeter testing structures during CI/CD cycles.
- 03
DevOps Engineers
They use natural language to stop rogue master runs and isolate networks.
FAQ
Questions BlazeMeter owners ask.
- 01
How do I connect my BlazeMeter account?
You subscribe to the MCP on Vinkius and enter your BlazeMeter Key ID and Secret. Once connected, your AI client can immediately start interacting with your BlazeMeter data.
- 02
Which AI clients can I use with this MCP?
This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 03
Can I stop a test if it goes out of control?
Yes. You can use the stop_master capability to forcefully shut down active cloud connections and protect your infrastructure.
- 04
What kind of performance metrics can the AI retrieve?
The AI can fetch precise throughput reports, including p90 and p99 KPIs, from your active runs.
- 05
Does this MCP host the connection?
Yes, Vinkius hosts and manages the MCP, so you don't have to worry about running the connection locally.
- 06
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.
- 07
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.
- 08
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.
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Connect BlazeMeter to Claude, Cursor, ChatGPT & more
