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Zenloop MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Zenloop 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="zenloop_agent",
    instruction=(
        "You help users interact with Zenloop "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Zenloop
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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 Zenloop MCP Server

Connect your Zenloop account to any AI agent to streamline your Net Promoter System (NPS) and customer feedback management. This MCP server enables your agent to interact with surveys, responses (answers), and account metadata directly from natural language.

Google ADK natively supports Zenloop as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

  • Survey Oversight — List all your active and historical surveys and retrieve their detailed summaries
  • Feedback Extraction — List customer answers and responses for any survey, filtered by date range
  • Response Generation — Programmatically create new survey answers across Link, Email, and Website channels
  • Performance Monitoring — Access NPS scores and comments to track customer sentiment in real-time
  • Account Visibility — Retrieve high-level account configuration and metadata for your Zenloop project

The Zenloop MCP Server exposes 8 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 Zenloop to Google ADK via MCP

Follow these steps to integrate the Zenloop 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 8 tools from Zenloop via MCP

Why Use Google ADK with the Zenloop MCP Server

Google ADK provides unique advantages when paired with Zenloop 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 Zenloop

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 Zenloop tools with BigQuery, Vertex AI, and Cloud Functions

Zenloop + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Zenloop 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 Zenloop

Zenloop MCP Tools for Google ADK (8)

These 8 tools become available when you connect Zenloop to Google ADK via MCP:

01

create_email_answer

Create a new survey response for an Email Embed channel

02

create_embed_answer

Create a new survey response for a Website Embed channel

03

create_link_answer

Create a new survey response for a Link channel

04

create_overlay_answer

Create a new survey response for a Website Overlay channel

05

get_account_details

Get Zenloop account information

06

get_survey_details

Get details for a specific survey

07

list_survey_answers

Can be filtered by date. List answers (responses) for a survey

08

list_surveys

List all configured surveys

Example Prompts for Zenloop in Google ADK

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

01

"List all active surveys in my Zenloop account."

02

"Show me customer responses for survey ID 'abc123xyz' from last week."

03

"Submit a Link response for survey 'abc123' with score 10 and comment 'Amazing experience!'."

Troubleshooting Zenloop MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Zenloop + Google ADK FAQ

Common questions about integrating Zenloop 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 Zenloop to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.