How do I get a Delighted API Key?

Log in to your Delighted account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section.

Can I see real-time NPS updates?

Yes, you can use the get_nps_metrics_summary tool to see the latest calculated score and breakdown of responses.

Does the integration support multiple survey types?

Yes, Delighted supports NPS, CSAT, CES, and other survey types. The agent will retrieve responses regardless of the survey methodology used in your account.

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

Name: Delighted
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Delighted as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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="delighted_agent",
    instruction=(
        "You help users interact with Delighted "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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<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 Delighted MCP Server

Integrate Delighted by Qualtrics, the leading experience management platform, directly into your AI workflow. Monitor your customer feedback in real-time, track Net Promoter Score (NPS) metrics, and analyze survey comments using natural language.

Google ADK natively supports Delighted 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

Feedback Monitoring — List and retrieve detailed survey responses, including scores and text comments from your customers.
Metric Intelligence — Retrieve overall NPS metrics, including promoter, passive, and detractor counts.
Customer Research — Access feedback history and metadata for specific individuals in your database.
Survey Automation — Add new people to Delighted to trigger feedback surveys directly via chat.

The Delighted 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 Delighted to Google ADK via MCP

Follow these steps to integrate the Delighted MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Delighted via MCP

Why Use Google ADK with the Delighted MCP Server

Google ADK provides unique advantages when paired with Delighted through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Delighted

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Delighted tools with BigQuery, Vertex AI, and Cloud Functions

Delighted + Google ADK Use Cases

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

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

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

Automated compliance checks: schedule ADK agents to query Delighted regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Delighted

Delighted MCP Tools for Google ADK (10)

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

add_person_to_survey

Adds a new person to the system and schedules a survey invitation to be sent via the default channel. Add a new person to Delighted to trigger a survey

get_nps_metrics_summary

Returns real-time Net Promoter Score (NPS) along with a breakdown of promoters, passives, and detractors. Retrieve overall NPS metrics, including promoter and detractor counts

get_person_feedback_history

Resolves all previous survey responses, cumulative NPS contribution, and associated person attributes. Get all feedback and metadata for a specific person

get_recent_customer_comments

List the most recent survey responses that include a text comment

get_response_details

Resolves customer details, specific survey channel, and the full text of the feedback comment. Get full details for a specific survey response

list_feedback_contacts

Returns a list of people who have interacted with Delighted, including their email addresses and survey history metadata. List people who have been sent surveys or provided feedback

list_recent_detractors

Identifies "detractors" based on an NPS score between 0 and 6. Identify customers who provided a low NPS score (0-6)

list_survey_responses

Returns response metadata including score, comment, person identifier, and timestamp. List all customer survey responses in Delighted

list_top_promoters

Identifies "promoters" based on an NPS score of 9 or 10. Identify customers who provided a high NPS score (9-10)

search_responses_by_comment

Identifies survey responses where the text matches the provided search term. Search for survey responses containing specific keywords in comments

Example Prompts for Delighted in Google ADK

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

"What is our current NPS score?"

"Show me the last 5 customer comments containing 'pricing'."

"Get the feedback history for 'user@example.com'."

Troubleshooting Delighted MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Delighted + Google ADK FAQ

Common questions about integrating Delighted MCP Server with Google ADK.

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.

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.

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.