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 Google ADK 10 tools — connect in under 2 minutes

Name: Qase
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Qase as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="qase_agent",
    instruction=(
        "You help users interact with Qase "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Qase as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Qase MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Qase via MCP

Why Use Google ADK with the Qase MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Qase

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Qase tools with BigQuery, Vertex AI, and Cloud Functions

Qase + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Qase and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Qase tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Qase regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Qase

Qase MCP Tools for Google ADK (10)

These 10 tools become available when you connect Qase to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Qase + Google ADK FAQ

Common questions about integrating Qase MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.