BlazeMeter MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect BlazeMeter through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"blazemeter": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "BlazeMeter Agent",
instructions:
"You help users interact with BlazeMeter " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with BlazeMeter?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About BlazeMeter MCP Server
Connect your BlazeMeter API credentials to any AI agent and integrate enterprise load testing natively into your DevOps and QA workflows.
Mastra's agent abstraction provides a clean separation between LLM logic and BlazeMeter tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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.
The BlazeMeter MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect BlazeMeter to Mastra AI via MCP
Follow these steps to integrate the BlazeMeter MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from BlazeMeter via MCP
Why Use Mastra AI with the BlazeMeter MCP Server
Mastra AI provides unique advantages when paired with BlazeMeter through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BlazeMeter without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every BlazeMeter tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
BlazeMeter + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the BlazeMeter MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query BlazeMeter, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed BlazeMeter as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query BlazeMeter on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using BlazeMeter tools alongside other MCP servers
BlazeMeter MCP Tools for Mastra AI (10)
These 10 tools become available when you connect BlazeMeter to Mastra AI via MCP:
get_master
Dispatch an automated validation check routing explicit Gateway run status
get_report
Inspect deep internal arrays mitigating specific Plan Math Reports
get_test
Retrieve explicit configuration tracing an active Vault limit Test
get_user
Identify precise active arrays spanning native Identity parsing
list_masters
Enumerate explicitly attached structured rules exporting active Master records
list_projects
Perform structural extraction of Projects bounded to a Workspace
list_tests
Provision a highly-available JSON Payload extracting bound Tests
list_workspaces
Identify bounded Workspace records inside the Headless BlazeMeter Platform
start_test
Irreversibly execute explicit load generation validations spanning rich metrics
stop_master
Identify precise active arrays spanning native Gateway shutdown logic
Example Prompts for BlazeMeter in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with BlazeMeter immediately.
"List the performance testing projects inside Workspace ID `123456`."
"Trigger a new execution for load Test ID `987654`."
"Stop the actively running Master test ID `m-11223` immediately."
Troubleshooting BlazeMeter MCP Server with Mastra AI
Common issues when connecting BlazeMeter to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBlazeMeter + Mastra AI FAQ
Common questions about integrating BlazeMeter MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect BlazeMeter with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BlazeMeter to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.