Can the AI provide the exact step where a test case failed?

Yes. If an execution failed, the agent uses `list_runs` for the instance. Since an instance maps directly to test steps, the AI inherently decodes the exact execution traces to show you the failing parameters.

Is PractiTest's requirement and issue tracing accessible to the AI?

Yes. Tools like `list_requirements` and `list_issues` expose full traceability trees. You can ask exactly how many QA instances are mapped to Requirement 5.

Do I need to copy the project ID separately?

Yes. In PractiTest, APIs execute cleanly isolated within specific Project instances. You must provide the numeric Project ID alongside your Personal Token so the underlying `pt-engine` binds queries strictly to that project.

PractiTest MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: PractiTest
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 PractiTest 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="practitest_agent",
    instruction=(
        "You help users interact with PractiTest "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

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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 PractiTest MCP Server

Connect your PractiTest workspaces to any AI agent and empower it to orchestrate the entire QA lifecycle from physical requirements tracing to defect mapping natively via chat conversations.

Google ADK natively supports PractiTest 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

Test Cases & Sets — Tell the AI to investigate any Test Case or Test Set, discovering exact preconditions and expected results (list_tests, get_test, list_sets)
Test Instances & Runs — Retrieve deep execution histories pinpointing exactly which step caused a regression bounding PASSED/FAILED statuses (list_runs)
Requirements Tracking — Audit physical system compliance extracting arrays dictating QA delivery thresholds (list_requirements)
Issue Mapping — Find exact Software Defects bound natively to QA traces verifying complex failure logic (list_issues)

The PractiTest 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 PractiTest to Google ADK via MCP

Follow these steps to integrate the PractiTest 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 PractiTest via MCP

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

PractiTest MCP Tools for Google ADK (10)

These 10 tools become available when you connect PractiTest to Google ADK via MCP:

get_set

Get full details of a PractiTest test set including name, status, instances count, and execution summary

get_test

Get full details of a PractiTest test case including name, description, preconditions, steps, expected results, custom fields, and requirement links

list_custom_fields

List all custom fields in a PractiTest project. Returns field names, types, applicable entities, and possible values

list_instances

List all test instances in a PractiTest test set. Instances are test-set-specific copies of test cases. Returns instance IDs, test references, and last run statuses

list_issues

List all issues (defects) in a PractiTest project. Returns issue names, statuses, severities, and linked test references

list_requirements

List all requirements in a PractiTest project. Requirements provide traceability to test cases and defects. Returns names, statuses, and linked test counts

list_runs

List all runs for a PractiTest test instance. Runs record actual test execution results. Returns run IDs, statuses (PASSED/FAILED/BLOCKED/NOT_RUN/N_A), durations, and timestamps

list_sets

List all test sets in a PractiTest project. Test sets group test instances for execution. Returns set names, statuses, planned/actual dates, and assigned testers

list_tests

List all test cases in a PractiTest project. PractiTest is an end-to-end test management platform with traceability from requirements to defects. Returns test names, IDs, statuses, custom fields, and traceability links. Uses JSON:API format

list_users

List all users in the PractiTest account. Returns user names, emails, roles, and statuses

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 tests inside our active QA regression instance and find the ones mapped as failed."

"Do we have any new custom fields we should be aware of inside the requirements area?"

"Are there any open defects (issues) linked directly to testing scenarios surrounding multi-currency operations?"

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

Update: pip install --upgrade google-adk

PractiTest + Google ADK FAQ

Common questions about integrating PractiTest 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.