How to Use the Userback MCP in Google ADK

Q: Can I list all available feedback reports with the Google ADK?

Yep. You run listfeedbacks to pull the full roster of entries. This allows you to gather a complete dataset that can then be fed into your long-context Gemini models.

Build enterprise feedback systems that act directly on your data with the Google ADK and MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Userback MCP to Google ADK

Create your Vinkius account to connect Userback to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Userback with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Examine all collected user reports.

Use `list_feedbacks` to pull a comprehensive list of every Userback feedback report. This gives your agent a single view of the entire pool of submitted issues, ready for analysis. Once you know which report matters, running `get_feedback_details` pulls all the embedded data—screenshots and recordings—so Gemini can reason on them.

Check user accounts against BigQuery via MCP Server.

The agent uses `list_account_users` to gather a roster of all users. This list is perfect for cross-referencing with existing tables in BigQuery. It also lets you run `get_project_details`, pulling project metadata that can be immediately joined or analyzed within your Google Cloud workflow.

Find and analyze specific Userback projects.

Need to isolate a problem? Start with `list_userback_projects` to get every active project identifier. This is the first step before deep diving into any single area. Then, use `get_project_details`. The resulting structured data acts as an immediate source for your Vertex AI models.

Setup guide

Set up Userback MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Userback tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Userback_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Userback tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Userback. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Userback now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Userback MCP in Google ADK

The framework connects via a toolset, allowing Gemini to treat MCP Server functions like native Python libraries. The agent runs actions directly on your BigQuery data and then uses Userback tools.

Yep. You run `list_feedbacks` to pull the full roster of entries. This allows you to gather a complete dataset that can then be fed into your long-context Gemini models.

This server handles user account data, project details, and detailed feedback reports. It's designed to let enterprise agents act on all these types of structured records.

It does. The architecture supports long-context reasoning with Gemini, meaning you can hold and process massive amounts of data gathered from multiple MCP Server calls at once.

The system provides clear error reporting through Stdio or HTTP transports. You'll get direct feedback on why the action failed, making debugging straightforward for your team.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript