How do I securely obtain my Qase Token?

Log in to Qase.io and click your profile icon to go to **Account settings**. Select **API Tokens** (or sometimes found under Apps for an integration token), and click **Create a new API token**. Add a name, click generate, and copy the string provided. It takes exactly 15 seconds. Paste it here to authenticate. Your token is encrypted at rest and injected securely at runtime.

Can my AI write test scripts using the case details?

Absolutely. Inside your IDE (like Cursor), you can ask the agent to 'Fetch case #12 from Qase project PROJ'. The tool retrieves the precise steps, preconditions, and expected results. The agent can then automatically generate Playwright, Cypress, or Selenium scripts based exactly on those Qase definitions.

How can I check the results of a recent QA cycle?

Ask your agent to `list_runs` for your project. This will surface your recent executions. If you notice a run with a high failure rate, ask the agent to pull `get_run` with that run's ID to dive into specifics and see which modules failed the automated checks.

Can it help me track Jira bugs linked to tests?

Yes. By using the `list_defects` capability, your AI can pull all registered defects in a Qase project. If your Qase is integrated with Jira or GitHub, the returned defect data includes external issue links, helping developers immediately map a failed test to the corresponding engineering ticket.

Qase MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Qase
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Qase as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="qase_agent",
            tools=tools,
            system_message=(
                "You help users with Qase. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Qase tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Qase MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Qase automatically

Why Use AutoGen with the Qase MCP Server

AutoGen provides unique advantages when paired with Qase through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Qase tools to solve complex tasks

Role-based architecture lets you assign Qase tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Qase tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Qase tool responses in an isolated environment

Qase + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Qase MCP Server delivers measurable value.

Collaborative analysis: one agent queries Qase while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Qase, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Qase data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Qase responses in a sandboxed execution environment

Qase MCP Tools for AutoGen (10)

These 10 tools become available when you connect Qase to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Qase to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Qase + AutoGen FAQ

Common questions about integrating Qase MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Qase tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.