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MaestroQA MCP Server for Google ADK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

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

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="maestroqa_agent",
    instruction=(
        "You help users interact with MaestroQA "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)
MaestroQA
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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 MaestroQA MCP Server

Connect your MaestroQA account to any AI agent to automate your customer service quality assurance and performance reporting. This MCP server enables your agent to list tickets, monitor QA scores, request detailed data exports, and sync external CSAT scores directly from natural language interfaces.

Google ADK natively supports MaestroQA as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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

  • Score Monitoring — List support tickets and retrieve real-time Internal Quality Scores (IQS) and grading statuses
  • Automated Exporting — Initialize asynchronous raw data exports for deep analysis of rubric answers and performance
  • Agent Oversight — List all support agents and available evaluation rubrics to organize your QA process
  • CSAT Synchronization — Push external customer satisfaction scores into MaestroQA to correlate them with internal QA grades
  • Detailed Auditing — Retrieve complete metadata and scoring breakdowns for any individual ticket

The MaestroQA MCP Server exposes 7 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 MaestroQA to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 7 tools from MaestroQA via MCP

Why Use Google ADK with the MaestroQA MCP Server

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

01

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

02

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

03

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

04

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

MaestroQA + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

MaestroQA MCP Tools for Google ADK (7)

These 7 tools become available when you connect MaestroQA to Google ADK via MCP:

01

get_export_download_links

Retrieve links for a requested export

02

get_ticket_qa_details

Get QA details for a specific ticket

03

list_qa_agents

List all agents tracked in MaestroQA

04

list_qa_rubrics

List all available evaluation rubrics

05

list_qa_tickets

Use optional params for filtering. List tickets and their QA statuses

06

push_csat_scores

Sync external CSAT scores into MaestroQA

07

request_qa_data_export

Requires start_date and end_date. Initialize a raw QA data export (Async)

Example Prompts for MaestroQA in Google ADK

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

01

"List all support tickets awaiting QA review in MaestroQA."

02

"Request a raw data export for the month of July in MaestroQA."

03

"Show the QA score for ticket ID 'ticket-54321'."

Troubleshooting MaestroQA MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

MaestroQA + Google ADK FAQ

Common questions about integrating MaestroQA MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect MaestroQA to Google ADK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.