How to Use the UserEcho MCP in Google ADK

Q: How does the Google ADK handle fetching ticket details with UserEcho?

The agent uses getticketdetails to pull all relevant information for a single ticket. Since your data lives in BigQuery, this tool allows you to keep that structured context within your Gemini reasoning flow.

Q: What kind of forums can I list with UserEcho and Google ADK?

You use the listforums tool. This gives the agent a structural overview of all available community discussion areas. It helps ground your agents in the right place to find information.

Q: If I need user data, what does UserEcho provide for Google ADK?

The listaccountusers tool lets you query a list of all users attached to an account. This is essential context that the agent can then cross-reference with other data sources in BigQuery.

Q: When listing helpdesk tickets with UserEcho and Google ADK, what should I expect?

Running listtickets gives the agent a comprehensive list of all current support desk items. It's the starting point for any workflow that requires knowing the status of existing issues.

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Connect UserEcho MCP to Google ADK

Create your Vinkius account to connect UserEcho 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.

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Setup UserEcho with Google ADK

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Track Support Issues

The agent tracks customer issues through multiple steps. It starts with `list_tickets` to get a summary of all outstanding helpdesk cases. Later, it uses `create_support_ticket` when the agent needs to file a new record.

Query Knowledge Bases

When the user asks a question, the agent checks existing documentation. It calls `list_kb_articles` for potential answers first. If that fails, it might run `list_forums` to see if the community already solved the problem.

Identify Account Stakeholders

The agent can pull a list of all users associated with an account using `list_account_users`. This is useful for scoping out who needs to be notified about a specific ticket or forum topic.

Setup guide

Set up UserEcho 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 UserEcho 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="UserEcho_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UserEcho tools via MCP.",
    tools=mcp_tools,
)

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Common questions about UserEcho MCP in Google ADK

The agent uses `get_ticket_details` to pull all relevant information for a single ticket. Since your data lives in BigQuery, this tool allows you to keep that structured context within your Gemini reasoning flow.

You use the `list_forums` tool. This gives the agent a structural overview of all available community discussion areas. It helps ground your agents in the right place to find information.

The `list_account_users` tool lets you query a list of all users attached to an account. This is essential context that the agent can then cross-reference with other data sources in BigQuery.

This server handles collaboration and support metadata, including user accounts, ticket records, knowledge base article names, and forum structures. All of it is designed to augment your BigQuery context.

Running `list_tickets` gives the agent a comprehensive list of all current support desk items. It's the starting point for any workflow that requires knowing the status of existing issues.

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