BlazeMeter Connector for AI agents.
10 live capabilities
Run and monitor load tests directly from your chat interface
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Why people use BlazeMeter
BlazeMeter Load Testing for Faster QA Cycles
With this Connector, you skip the tabs. You can ask your agent to find a project, start a test, and pull the final report in one conversation. It turns a multi-step infrastructure task into a simple query and response cycle.
What Vinkius changes
You get to control your entire performance testing suite through a natural conversation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Emergency shutdown of a runaway test
A production server starts spiking.
- Real-world use case 02
Quickly checking p99 metrics
A QA engineer finishes a load test and asks the agent to use get_report to see if the latency stayed under 200ms.
- Real-world use case 03
Finding project configurations
A DevOps engineer needs to see what tests are available for a new microservice and asks the agent to use list_tests.
Complete set · 10capabilities
The complete BlazeMeter capability set.
These are the exact actions your AI can choose when you ask it to work with BlazeMeter.
01—04
4 capabilities in this set.
Part of 10 available through BlazeMeter.
- 01 Capability
Stop master
Shutdown active gateway arrays. This is your emergency brake for runaway load tests.
- 02 Capability
Get report
View internal arrays for specific plan math reports. This provides the deep data you need for analysis.
- 03 Capability
Get user
Identify specific user records in the identity parsing system. Use this to manage account-level data.
- 04 Capability
List workspaces
See all your bounded workspaces in the BlazeMeter platform. This helps you navigate large enterprise environments.
05—07
3 capabilities in this set.
Part of 10 available through BlazeMeter.
- 05 Capability
List projects
Extract a list of projects tied to a specific workspace. Use this to find the right test group quickly.
- 06 Capability
List tests
Get a JSON payload of all tests in a project. This is useful for seeing what configurations are available.
- 07 Capability
Get test
Pull the specific configuration for a single test. Use this to check vault limits and test details.
08—10
3 capabilities in this set.
Part of 10 available through BlazeMeter.
- 08 Capability
Start test
Execute a load generation test and see the resulting metrics. This starts the actual cloud scaling process.
- 09 Capability
List masters
See the active master records for your runs. This helps you track which orchestrators are running.
- 10 Capability
Get master
Check the status of a specific gateway run. Use this to see if a master is healthy.
Set up in minutes
One URL. Then ask BlazeMeter to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use BlazeMeter from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it BlazeMeter, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable BlazeMeter for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the BlazeMeter URL.
- Step 03
Save and start
Save the connection and enable BlazeMeter in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"blazemeter": {
"url": "https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using BlazeMeter
Open Agent mode in chat and ask: "Using BlazeMeter, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"blazemeter": {
"url": "https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using BlazeMeter
Ask Copilot: "Using BlazeMeter, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"blazemeter": {
"url": "https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using BlazeMeter
Open Cascade and ask: "Using BlazeMeter, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"blazemeter": {
"url": "https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using BlazeMeter
Ask Cline: "Using BlazeMeter, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add blazemeter --transport http "https://edge.vinkius.com/vk_preview_r6TJf0A2rRQHYgLlCVZI7oB2MYzqNtdD2bTXNTMV/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using BlazeMeter
Ask Claude: "Using BlazeMeter, show me...". 10 tools are ready
Where the request belongs
Work BlazeMeter can move forward.
This is for the SRE who is tired of clicking through dashboards at 2am to check if a test is still running. It is for the QA engineer who needs to quickly pull JMeter configurations during a sprint and the DevOps engineer who needs an emergency brake for rogue cloud connections.
Site Reliability Engineer (SRE)
Uses the Connector to monitor p99 health metrics and shut down runaway master runs during production incidents.
QA Automation Engineer
Queries active JMeter testing structures and triggers new load tests during CI/CD cycles.
DevOps Engineer
Manages workspace projects and extracts test configurations to ensure infrastructure stability.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Gatling
Manage load testing via Gatling Enterprise. list and start simulations, monitor test runs and request stats, and handle generator pools directly from any AI agent.
Mabl (AI-Powered Test Automation)
Manage E2E testing via Mabl. trigger test plans, monitor execution results, and perform AI-driven failure analysis.
Cypress Cloud
Audit E2E testing via Cypress. monitor test runs, inspect spec instances, track flaky tests, and generate enterprise reports directly from any AI agent.
Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep BlazeMeter connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about BlazeMeter.
The practical details behind the request, access and result.
Can I use BlazeMeter MCP to stop a test that's crashing my site?
Yes. You can use the stop_master capability to immediately shut down active cloud connections and kill runaway load tests using a simple chat command.
How do I see the p99 results of my last load test?
Just ask your agent to pull the report for that specific test. It will fetch the internal math and KPIs like p90 and p99 directly into the chat.
Can I trigger a new test with a chat command?
Yes. You can tell your agent to start a specific test ID, and it will trigger the cloud-based performance hosts for you.
Does BlazeMeter MCP support JMeter?
Yes. This Connector can interact with your JMeter definitions, allowing you to list and execute those tests through your AI client.
How do I find my project IDs in BlazeMeter?
You can ask your agent to list the projects in your workspace. It will provide a list of all available projects and their corresponding IDs.
Can I monitor multiple test runs at once?
Yes. You can ask your agent to list all active master records to see the status of various running tests across your environment.
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.
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.
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.
One connection away
Give your agent a direct line to BlazeMeter.
Connect BlazeMeter once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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