Qase 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 Qase 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: {
"qase": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Qase Agent",
instructions:
"You help users interact with Qase " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Qase?"
);
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 Qase MCP Server
Connect your Qase workspace to any AI agent and integrate test management deeply into your development workflow.
Mastra's agent abstraction provides a clean separation between LLM logic and Qase 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
- Project Overviews — Retrieve all active projects, view health metrics, and get total counts of test cases, runs, and defects instantly
- Test Cases & Suites — Explore your test hierarchy, pull specific test steps, and check case automation statuses without opening the Qase dashboard
- Test Runs & Execution — List all test runs, monitor execution status (passed, failed, blocked), and dive deep into test run analytics
- Defects & Milestones — Track project milestones and extract all logged defects linked to failed test cases, complete with severity levels and issue links
The Qase 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 Qase to Mastra AI via MCP
Follow these steps to integrate the Qase 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 Qase via MCP
Why Use Mastra AI with the Qase MCP Server
Mastra AI provides unique advantages when paired with Qase through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Qase 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 Qase 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
Qase + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Qase MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Qase, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Qase as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Qase on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Qase tools alongside other MCP servers
Qase MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Qase to Mastra AI via MCP:
get_case
Retrieves details for a specific test case
get_project
Retrieves details for a specific project
get_run
Retrieves details for a specific test run
list_cases
Lists test cases in a project
list_defects
Lists all defects linked to test case failures
list_milestones
Lists all milestones in a project
list_plans
Lists all test plans in a project
list_projects
Lists all projects in Qase
list_runs
Lists all test runs in a project
list_suites
Lists test suites in a project
Example Prompts for Qase in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Qase immediately.
"List all Qase projects and show me their overall health."
"Fetch the details of test case ID 45 in the WEB project."
"Are there any recent defects added for the WEB project?"
Troubleshooting Qase MCP Server with Mastra AI
Common issues when connecting Qase to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpQase + Mastra AI FAQ
Common questions about integrating Qase 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 Qase 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 Qase to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.