Can I use my regular TestRail password to authenticate?

Technically yes, as TestRail uses HTTP Basic Auth. However, it is highly discouraged for security purposes. The gold standard is to generate a dedicated API Key via your profile interface strictly tied to this connection.

Why isn't the API agent responding despite my credentials being correct?

TestRail requires the instance administrator to explicitly configure system-level API enablement. Ask your workspace admin to go to Administration > Site Settings > API and tick 'Enable API' box.

Can the AI rewrite my test cases explicitly inside your TestRail app?

No. Consistent with security best practices, the TestRail MCP functions only as a powerful read-only query extraction engine. It retrieves metadata, sections, milestones, and reports, protecting your ground-truth data from accidental AI deletion.

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

Name: TestRail
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 TestRail as an MCP tool provider through the 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="testrail_agent",
    instruction=(
        "You help users interact with TestRail "
        "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 TestRail MCP Server

Bring your overarching TestRail quality assurance orchestration directly to your developer's edge. Query comprehensive test coverage, inspect failing builds, and extract explicit test steps using natural conversation.

Google ADK natively supports TestRail as an MCP tool provider — declare the 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 Triage — Extract active test projects, their numeric IDs, and overall suite architecture logic
Suite & Case Isolation — Retrieve precise step-by-step logic, preconditions, and validation targets for any manual test case stored by QA
Run Execution Metrics — Instantly generate summaries around active 'Test Runs', seeing precisely which specific tests passed or failed
Milestone Navigation — Interrogate upcoming QA deadlines and release milestones without ever touching the heavy web browser application
Deep Hierarchical Search — Pull Section lists (folder hierarchies) from within projects to navigate robust test repositories visually in markdown

The TestRail 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 TestRail to Google ADK via MCP

Follow these steps to integrate the TestRail 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 TestRail via MCP

Why Use Google ADK with the TestRail MCP Server

Google ADK provides unique advantages when paired with TestRail 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 TestRail

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 TestRail tools with BigQuery, Vertex AI, and Cloud Functions

TestRail + Google ADK Use Cases

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

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

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

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

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

TestRail MCP Tools for Google ADK (10)

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

get_test_case_details

Retrieves full details for a specific test case

get_test_project_details

Retrieves details for a specific TestRail project

get_test_run_details

Retrieves details for a specific test run

list_project_milestones

Lists all milestones within a project

list_project_sections

Lists all sections (folders) within a project

list_run_tests

Lists all tests (case instances) within a specific test run

list_test_cases

Lists all test cases in a project, optionally filtered by suite

list_test_projects

Project IDs are essential for navigating most other resources. Lists all test projects available on the TestRail instance

list_test_runs

Lists all test runs within a specific project

list_test_suites

Lists all test suites within a specific project

Example Prompts for TestRail in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with TestRail immediately.

"What active TestRail projects are available in this instance?"

"Get the manual preconditions and test steps for Test Case 1285."

"Return exact status summary for Test Run ID 403."

Troubleshooting TestRail MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

TestRail + Google ADK FAQ

Common questions about integrating TestRail 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.