PractiTest MCP Server for Google ADKGive Google ADK instant access to 11 tools to Create Instance, Create Run, Create Test, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add PractiTest as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The PractiTest app connector for Google ADK is a standout in the Developer Tools category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="practitest_alternative_agent",
instruction=(
"You help users interact with PractiTest "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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 PractiTest MCP Server
Empower your AI Agents with full access to your PractiTest workspace. This MCP Server allows AI to manage quality assurance processes, fetching project details, tests, runs, instances, and requirements in real-time. Whether you need to run specific tests or aggregate QA metrics, this integration seamlessly connects PractiTest to AI Agents.
Google ADK natively supports PractiTest as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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
List and get details of PractiTest projects. Create and manage tests, test runs, and test instances directly from AI. Fetch requirements to ensure full QA coverage. Automate report generation by pulling live QA data.The PractiTest MCP Server exposes 11 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.
All 11 PractiTest tools available for Google ADK
When Google ADK connects to PractiTest through Vinkius, your AI agent gets direct access to every tool listed below — spanning qa-testing, test-management, bug-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Provide the data as a JSON string. Create a new instance in a PractiTest project
Provide the data as a JSON string. Create a new run in a PractiTest project
Provide the data as a JSON string. Create a new test in a PractiTest project
Get details of a specific PractiTest project
Get details of a specific requirement in a PractiTest project
Get details of a specific test in a PractiTest project
List instances within a specific PractiTest project
List all PractiTest projects accessible by the API token
List requirements within a specific PractiTest project
List runs within a specific PractiTest project
List tests within a specific PractiTest project
Connect PractiTest to Google ADK via MCP
Follow these steps to wire PractiTest into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the PractiTest MCP Server
Google ADK provides unique advantages when paired with PractiTest 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 PractiTest
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 PractiTest tools with BigQuery, Vertex AI, and Cloud Functions
PractiTest + Google ADK Use Cases
Practical scenarios where Google ADK combined with the PractiTest MCP Server delivers measurable value.
Enterprise data agents: ADK agents query PractiTest and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine PractiTest tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query PractiTest regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including PractiTest
Example Prompts for PractiTest in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with PractiTest immediately.
"List all projects available in PractiTest."
"Create a new test named 'Login Verification' in project ID 123."
"Fetch the details of test run ID 456 in project 123."
Troubleshooting PractiTest MCP Server with Google ADK
Common issues when connecting PractiTest to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPractiTest + Google ADK FAQ
Common questions about integrating PractiTest MCP Server with Google ADK.