How to integrate Dovetail MCP with Google ADK

This guide walks you through connecting Dovetail to Google ADK using the Composio tool router. By the end, you'll have a working Dovetail agent that can summarize all data points for project x, create a new insight from interview notes, list every contact added this month through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Dovetail account through Composio's Dovetail MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries.

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Introduction

This guide walks you through connecting Dovetail to Google ADK using the Composio tool router. By the end, you'll have a working Dovetail agent that can summarize all data points for project x, create a new insight from interview notes, list every contact added this month through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Dovetail account through Composio's Dovetail MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get a Dovetail account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Dovetail
  • Build an agent that connects to Dovetail through MCP
  • Interact with Dovetail 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 Dovetail MCP server, and what's possible with it?

The Dovetail MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dovetail account. It provides structured and secure access to your research workspace, so your agent can perform actions like creating insights, managing contacts, organizing channels, and retrieving research notes on your behalf.

  • Automated insight creation: Let your agent synthesize findings and store new insights in your Dovetail projects, streamlining your research analysis workflow.
  • Channel and topic management: Easily create, organize, or delete channels and topics to keep your research data structured and accessible.
  • Contact management and retrieval: Automatically add new research contacts or list all contacts in your workspace for better respondent tracking.
  • Research note access: Ask your agent to fetch detailed information about specific notes, giving you instant access to key research materials.
  • Data point recording and classification: Capture and categorize new data points within channels, ensuring every piece of feedback or observation is logged and ready for analysis.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio 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.
  • 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.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Dovetail via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

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
6

Import modules and validate environment

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.")
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
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

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

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
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
8

Set up the McpToolset and create the Agent

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 Dovetail operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
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
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

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

Complete Code

Here's the complete code to get you started with Dovetail and Google ADK:

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=["dovetail"],
)

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 Dovetail operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

You've successfully integrated Dovetail with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Dovetail using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Dovetail 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.

TOOLS

Supported Tools

Every Dovetail action and event your agent gets out of the box.

Create Channel

Creates a new channel in Dovetail to organize and collect feedback data.

Create Contact

Tool to create a new contact in Dovetail.

Create Data

Tool to create a data item in a Dovetail project with text content, title, and/or structured fields.

Create Data Point

Tool to create a data point within a channel.

Create Doc

Tool to create a doc in a Dovetail project with text content, title and/or custom fields.

Create Insight

Creates a new insight in Dovetail to store synthesized research findings, observations, or conclusions.

Create Note

Tool to create a note in a Dovetail project with text content, title and/or custom fields.

Create Project

Tool to create a new project in your Dovetail workspace.

Create Topic

Tool to create a new topic in a Dovetail channel.

Delete Channel

Tool to delete an existing channel.

Delete Data

Tool to delete an existing data item.

Delete Doc

Tool to delete an existing doc.

Delete Insight

Tool to delete an existing insight.

Delete Note

Tool to delete an existing note.

Delete Topic

Tool to delete an existing topic.

Export Data

Tool to export data in HTML or Markdown format.

Export Doc

Tool to export a doc in HTML or Markdown format.

Export Insight

Tool to export an insight in HTML or Markdown format.

Export Note

Tool to export a note from Dovetail in HTML or Markdown format.

Get Contact

Tool to retrieve details of a specific contact.

Get Data

Tool to retrieve details of a specific data item by ID.

Get Doc

Tool to retrieve details of a specific doc by ID.

Get File

Tool to retrieve details of a specific file by its ID.

Get Folder

Tool to retrieve details of a specific folder.

Get Insight

Tool to retrieve details of a specific insight by ID.

Get Note

Tool to retrieve details of a specific note.

Get Project

Tool to retrieve details of a specific project.

Get Token Info

Retrieves information about the current API token, including its unique identifier and the associated workspace subdomain.

Import Data File

Tool to import a public URL of a file as new data in Dovetail.

Import Doc File

Tool to import a public file URL as a new doc in Dovetail.

Import Insight from File

Tool to import a file from a public URL as a new insight in Dovetail.

Import Note File

Tool to import a file from a public URL as a new note in Dovetail.

List Contacts

Retrieves a paginated list of contacts from a Dovetail workspace.

List Data

Tool to list data items in Dovetail.

List Docs

Tool to list docs in a Dovetail workspace with optional filtering, sorting, and pagination.

List Folders

Tool to get a list of folders associated with a workspace.

List Highlights

List highlights from your Dovetail workspace with optional filtering and pagination.

List Insights

Tool to get a list of insights associated with a workspace.

List Notes

List notes in Dovetail workspace with optional pagination and sorting.

List Projects

Tool to list all projects in Dovetail.

List Tags

List all tags in the authenticated Dovetail workspace.

List User Docs

Tool to get a list of docs associated with a user in Dovetail.

List User Insights

List personal insights for a user in Dovetail.

Magic Search

Tool to perform a magic search across workspace data.

Update Channel

Tool to update an existing channel's title or context.

Update Contact

Tool to update an existing contact in Dovetail.

Update Data

Tool to update a data item in Dovetail.

Update Doc

Tool to update a doc in Dovetail.

Update Insight

Updates an existing insight in Dovetail, allowing you to modify the title and custom fields.

Update Note

Tool to update an existing note in Dovetail.

Update Topic

Tool to update an existing topic.

FRAMEWORKS

How to build Dovetail MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Dovetail MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Dovetail MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Dovetail MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Dovetail MCP with Claude Cowork

Codex logo

Codex

Use Dovetail MCP with Codex

OpenClaw logo

OpenClaw

Use Dovetail MCP with OpenClaw

Hermes logo

Hermes

Use Dovetail MCP with Hermes

CLI logo

CLI

Use Dovetail MCP with CLI

LangChain logo

LangChain

Use Dovetail MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Dovetail MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Dovetail MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Dovetail MCP with LlamaIndex

CrewAI logo

CrewAI

Use Dovetail MCP with CrewAI

FAQ

Frequently asked questions

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

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 Dovetail tools.

Yes, absolutely. You can configure which Dovetail 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.

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 Dovetail data and credentials are handled as safely as possible.

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Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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Co-Founder, Ingram Technologies