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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AlisQI 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="alisqi_agent",
    instruction=(
        "You help users interact with AlisQI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
AlisQI
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 AlisQI MCP Server

Connect your AlisQI instance to your AI agent to unlock professional quality management (QMS) orchestration. From auditing quality results and managing analysis sets to retrieving technical metadata for fields and monitoring workflow webhooks, your agent handles your quality operations through natural conversation.

Google ADK natively supports AlisQI 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

  • Results Orchestration — List, retrieve, and store quality results for any of your custom analysis sets
  • Schema Discovery — List and audit analysis sets and their field definitions to understand your dynamic data model
  • Document Oversight — Retrieve technical metadata for result attachments and monitor your quality documentation
  • Workflow Monitoring — List active webhooks to ensure your quality event triggers (like non-conformities) are operational
  • QMS Insights — Quickly identify quality trends or audit recent analysis entries directly from your chat interface

The AlisQI 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 AlisQI to Google ADK via MCP

Follow these steps to integrate the AlisQI 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 10 tools from AlisQI via MCP

Why Use Google ADK with the AlisQI MCP Server

Google ADK provides unique advantages when paired with AlisQI 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 AlisQI

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 AlisQI tools with BigQuery, Vertex AI, and Cloud Functions

AlisQI + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query AlisQI 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 AlisQI

AlisQI MCP Tools for Google ADK (10)

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

01

get_analysis_set_details

Get set metadata

02

get_api_info

Check API status

03

get_result_attachments

List document attachments

04

get_result_details

Get specific result

05

list_active_webhooks

List active triggers

06

list_analysis_sets

List analysis sets

07

list_choice_lists

List selection menus

08

list_fields

List dynamic fields

09

list_results

Supports filtering. List quality results

10

store_results

Create or update results

Example Prompts for AlisQI in Google ADK

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

01

"List all analysis sets available in my AlisQI instance."

02

"Show the last 5 quality results for 'Raw Material Inspection'."

03

"Check if there are any active webhooks for non-conformities."

Troubleshooting AlisQI MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

AlisQI + Google ADK FAQ

Common questions about integrating AlisQI 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 AlisQI to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.