# How to integrate Delighted MCP with Google ADK

```json
{
  "title": "How to integrate Delighted MCP with Google ADK",
  "toolkit": "Delighted",
  "toolkit_slug": "delighted",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/delighted/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/delighted/framework/google-adk.md",
  "updated_at": "2026-03-29T06:30:02.001Z"
}
```

## Introduction

This guide walks you through connecting Delighted to Google ADK using the Composio tool router. By the end, you'll have a working Delighted agent that can send an nps survey to a customer, show all recent delighted feedback comments, get nps score for last quarter through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Delighted account through Composio's Delighted MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Delighted with

- [OpenAI Agents SDK](https://composio.dev/toolkits/delighted/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/delighted/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/delighted/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/delighted/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/delighted/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/delighted/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/delighted/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/delighted/framework/cli)
- [LangChain](https://composio.dev/toolkits/delighted/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/delighted/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/delighted/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/delighted/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/delighted/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get a Delighted account set up and connected to Composio
- Install the Google ADK and Composio packages
- Create a Composio Tool Router session for Delighted
- Build an agent that connects to Delighted through MCP
- Interact with Delighted using natural language

## What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.
Key features include:
- Gemini Integration: Native support for Google's Gemini models
- MCP Toolset: Built-in support for Model Context Protocol tools
- Streamable HTTP: Connect to external services through streamable HTTP
- CLI and Web UI: Run agents via command line or web interface

## What is the Delighted MCP server, and what's possible with it?

The Delighted MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Delighted account. It provides structured and secure access so your agent can perform Delighted operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DELIGHTED_ADD_PERSON_TO_AUTOPILOT_EMAIL` | Add Person to Autopilot Email | Tool to add a person to Autopilot or update their properties for email-based surveys. Use when you need to enroll a person in scheduled email surveys or update their custom properties. |
| `DELIGHTED_ADD_PERSON_TO_AUTOPILOT_SMS` | Add Person to Autopilot SMS | Tool to add a person to Autopilot or update their properties for SMS-based surveys. Use when you need to schedule automated survey delivery via SMS. |
| `DELIGHTED_CREATE_PERSON` | Create or Update Person | Tool to create or update a person and schedule a survey email. Use when you need to add a new person to Delighted, update existing person details, or schedule a survey with custom properties for segmentation. |
| `DELIGHTED_DELETE_PENDING_SURVEY_REQUESTS` | Delete Pending Survey Requests | Tool to remove all pending (scheduled but not yet sent) survey requests for a person. Use when you need to cancel all future surveys for a specific email address. |
| `DELIGHTED_DELETE_PERSON` | Delete Person | Tool to remove a person and all associated data from Delighted. Use when you need to permanently delete a person's information. Deletion includes surveys, responses, properties, Autopilot membership, survey history, and unsubscribe/bounce status. |
| `DELIGHTED_GET_AUTOPILOT_EMAIL_CONFIGURATION` | Get Autopilot Email Configuration | Tool to retrieve the current Autopilot configuration for email distribution. Returns configuration details including whether Autopilot is active, survey frequency, and timestamps. |
| `DELIGHTED_GET_AUTOPILOT_SMS_CONFIGURATION` | Get Autopilot SMS Configuration | Tool to retrieve the current Autopilot configuration for SMS distribution. Use when you need to check whether Autopilot is enabled, review survey frequency settings, or examine configuration timestamps for SMS surveys. |
| `DELIGHTED_LIST_AUTOPILOT_SMS_MEMBERSHIPS` | List Autopilot SMS Memberships | Tool to retrieve all Autopilot memberships for SMS distribution platform. Use when you need to list people enrolled in Autopilot SMS or filter by specific person details. |
| `DELIGHTED_LIST_BOUNCED_PEOPLE` | List Bounced People | Tool to retrieve all bounced people for your account, ordered by bounce time (oldest first). Use when you need to identify email addresses that have bounced. Supports pagination via per_page and page parameters, and optional Unix timestamp filters (since, until) to restrict results to specific time ranges. |
| `DELIGHTED_LIST_PEOPLE` | List People | Tool to retrieve all people for your account in creation order. Use when you need to list contacts, filter by email or phone number, or paginate through your people database. Supports cursor-based pagination via Link header and optional time-based filtering. Note: email and phone_number filters are mutually exclusive. |
| `DELIGHTED_LIST_SURVEY_RESPONSES` | List Survey Responses | Tool to retrieve all survey responses for your account with pagination support and optional filtering. Use when you need to access survey feedback data, filter by date range, trend, person, or sort by creation/update time. Supports expanding person details and notes. |
| `DELIGHTED_LIST_UNSUBSCRIBED_PEOPLE` | List Unsubscribed People | Tool to retrieve all unsubscribed people for your account, ordered by unsubscribe time (oldest first). Use when you need to identify people who have unsubscribed. Supports pagination via per_page and page parameters, and optional Unix timestamp filters (since, until) to restrict results to specific time ranges. |
| `DELIGHTED_UNSUBSCRIBE_PERSON` | Unsubscribe Person | Tool to add a person to your unsubscribe list, preventing them from receiving any future surveys via email. Use when you need to permanently unsubscribe someone from all email surveys. This is functionally equivalent to the person clicking Unsubscribe within a survey. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Delighted MCP server is an implementation of the Model Context Protocol that connects your AI agent to Delighted. It provides structured and secure access so your agent can perform Delighted operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- A Google API key for Gemini models
- A Composio account and API key
- Python 3.9 or later installed
- Basic familiarity with Python

### 1. Getting API Keys for Google and Composio

Google API Key
- Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and create an API key.
- Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
- Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

### 2. Install dependencies

Inside your virtual environment, install the required packages.
What's happening:
- google-adk is Google's Agents Development Kit
- composio connects your agent to Delighted via MCP
- python-dotenv loads environment variables
```bash
pip install google-adk composio python-dotenv
```

### 3. Set up ADK project

Set up a new Google ADK project.
What's happening:
- This creates an agent folder with a root agent file and .env file
```bash
adk create my_agent
```

### 4. Set environment variables

Save all your credentials in the .env file.
What's happening:
- GOOGLE_API_KEY authenticates with Google's Gemini models
- COMPOSIO_API_KEY authenticates with Composio
- COMPOSIO_USER_ID identifies the user for session management
```bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email
```

### 5. Import modules and validate environment

What's happening:
- os reads environment variables
- Composio is the main Composio SDK client
- GoogleProvider declares that you are using Google ADK as the agent runtime
- Agent is the Google ADK LLM agent class
- McpToolset lets the ADK agent call MCP tools over HTTP
```python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
```

### 6. Create Composio client and Tool Router session

What's happening:
- Authenticates to Composio with your API key
- Declares Google ADK as the provider
- Spins up a short-lived MCP endpoint for your user and selected toolkit
- Stores the MCP HTTP URL for the ADK MCP integration
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["delighted"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
```

### 7. Set up the McpToolset and create the Agent

What's happening:
- Connects the ADK agent to the Composio MCP endpoint through McpToolset
- Uses Gemini as the model powering the agent
- Lists exact tool names in instruction to reduce misnamed tool calls
```python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Delighted operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

### 8. Run the agent

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.
What's happening:
- adk run runs the agent in CLI mode
- adk web . opens a web UI for interactive testing
```bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
```

## Complete Code

```python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["delighted"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Delighted operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

## Conclusion

You've successfully integrated Delighted with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Delighted using natural language commands.
Key takeaways:
- The Tool Router approach dynamically routes requests to the appropriate Delighted tools
- Environment variables keep your credentials secure and separate from code
- Clear agent instructions reduce tool calling errors
- The ADK web UI provides an interactive interface for testing and development
You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

## How to build Delighted MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/delighted/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/delighted/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/delighted/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/delighted/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/delighted/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/delighted/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/delighted/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/delighted/framework/cli)
- [LangChain](https://composio.dev/toolkits/delighted/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/delighted/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/delighted/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/delighted/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/delighted/framework/crew-ai)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.
- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
- [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Delighted MCP?

With a standalone Delighted MCP server, the agents and LLMs can only access a fixed set of Delighted tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Delighted and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Google ADK?

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Delighted tools.

### Can I manage the permissions and scopes for Delighted while using Tool Router?

Yes, absolutely. You can configure which Delighted scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Delighted data and credentials are handled as safely as possible.

---
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