Dovetail MCP Server for Google ADKGive Google ADK instant access to 7 tools to Create Insight, Create Note, Get Project Details, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Dovetail as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Dovetail app connector for Google ADK is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="dovetail_agent",
instruction=(
"You help users interact with Dovetail "
"using 7 available tools."
),
tools=[mcp_tools],
)
* 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 Dovetail MCP Server
Connect your Dovetail account to any AI agent and take full control of your user research and insight management workflows through natural conversation.
Google ADK natively supports Dovetail as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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
- Project Orchestration — List and manage research projects programmatically and retrieve detailed metadata about goals and participants
- Note Architecture — Create and organize research notes (interviews, usability tests, raw data) with specific content types (HTML, Markdown) directly from your agent
- Insight Management — Programmatically publish research findings and summaries to maintain a high-fidelity record of your team's discoveries
- Deep Search — Find relevant research data across projects using powerful query filters for titles and content
- Workspace Visibility — Retrieve complete directories of workspace members to coordinate collaboration and manage team access
The Dovetail MCP Server exposes 7 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.
All 7 Dovetail tools available for Google ADK
When Google ADK connects to Dovetail through Vinkius, your AI agent gets direct access to every tool listed below — spanning dovetail, user-research, insights-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new research insight
Create a new research note
Get details for a research project
List research insights
List research notes
List all research projects
List workspace members
Connect Dovetail to Google ADK via MCP
Follow these steps to wire Dovetail into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Dovetail MCP Server
Google ADK provides unique advantages when paired with Dovetail 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 Dovetail
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 Dovetail tools with BigQuery, Vertex AI, and Cloud Functions
Dovetail + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Dovetail MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Dovetail and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Dovetail tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Dovetail regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Dovetail
Example Prompts for Dovetail in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Dovetail immediately.
"List all my research projects in Dovetail."
"Create a new research note 'User A Interview' in project 'proj_123'."
"Show me all published insights containing the word 'mobile'."
Troubleshooting Dovetail MCP Server with Google ADK
Common issues when connecting Dovetail to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDovetail + Google ADK FAQ
Common questions about integrating Dovetail MCP Server with Google ADK.