Dovetail MCP Server for AutoGenGive AutoGen instant access to 7 tools to Create Insight, Create Note, Get Project Details, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Dovetail as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Dovetail app connector for AutoGen 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
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="dovetail_agent",
tools=tools,
system_message=(
"You help users with Dovetail. "
"7 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Dovetail tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Dovetail into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Dovetail MCP Server
AutoGen provides unique advantages when paired with Dovetail through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dovetail tools to solve complex tasks
Role-based architecture lets you assign Dovetail tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Dovetail tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Dovetail tool responses in an isolated environment
Dovetail + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Dovetail MCP Server delivers measurable value.
Collaborative analysis: one agent queries Dovetail while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Dovetail, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Dovetail data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Dovetail responses in a sandboxed execution environment
Example Prompts for Dovetail in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Dovetail to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Dovetail + AutoGen FAQ
Common questions about integrating Dovetail MCP Server with AutoGen.