How to Use the AskNicely MCP in Google ADK

Q: Can Google ADK filter the AskNicely tools?

You restrict access using the toolnames parameter. This limits the agent to reading data instead of triggering surveys.

Feed AskNicely NPS data from this MCP Server into Google ADK agents to analyze customer sentiment alongside BigQuery.

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Connect AskNicely MCP to Google ADK

Create your Vinkius account to connect AskNicely 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 AskNicely with Google ADK

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Analyze feedback with Google ADK

The `list_responses` tool dumps raw customer feedback straight into Gemini's massive context window. Your agent processes thousands of reviews at once. Meanwhile, `get_statistics` provides the baseline numbers. Cross-referencing this data with BigQuery takes seconds. You get a complete view of user sentiment without writing custom ETL pipelines.

Trigger surveys from cloud events

Firing off an NPS check happens through the `trigger_survey` tool. Your Google Cloud infrastructure detects a milestone. The agent then immediately queues the survey. Before sending, the code calls `list_contacts` to verify the user exists. This keeps your outreach targeted and prevents duplicate records.

Monitor the MCP Server connection

Verifying credentials takes one call to `get_account_check`. Your enterprise agent confirms the AskNicely link is active before running heavy batch jobs. Running agents on Vertex AI demands reliable tool execution. This endpoint proves the system knows exactly when the service is ready for work.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AskNicely. 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.

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Common questions about AskNicely MCP in Google ADK

Pip install google-adk and set up McpToolset with the Vinkius MCP URL. Pass it directly to your LlmAgent using HTTP transport.

You restrict access using the tool_names parameter. This limits the agent to reading data instead of triggering surveys.

Yes. The agent pulls massive lists of survey responses and dumps them into the token window for deep reasoning.

It queries the database first. If the user is missing, the agent creates the record and fires the survey in one step.

Your customer email addresses and NPS scores never touch our permanent storage. Vinkius operates a zero-trust model where the MCP server spins up, processes the request, and dies immediately.

Use it with your favorite AI tools

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

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