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Dovetail MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Create Insight, Create Note, Get Project Details, and more

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dovetail through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Dovetail app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Dovetail Assistant",
            instructions=(
                "You help users interact with Dovetail. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Dovetail"
        )
        print(result.final_output)

asyncio.run(main())
Dovetail
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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 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.

The OpenAI Agents SDK auto-discovers all 7 tools from Dovetail through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dovetail, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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_insight

Create a new research insight

create_note

Create a new research note

get_project_details

Get details for a research project

list_insights

List research insights

list_notes

List research notes

list_projects

List all research projects

list_workspace_members

List workspace members

Connect Dovetail to OpenAI Agents SDK via MCP

Follow these steps to wire Dovetail into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 7 tools from Dovetail

Why Use OpenAI Agents SDK with the Dovetail MCP Server

OpenAI Agents SDK provides unique advantages when paired with Dovetail through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Dovetail + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Dovetail MCP Server delivers measurable value.

01

Automated workflows: build agents that query Dovetail, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Dovetail, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Dovetail tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Dovetail to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Dovetail in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dovetail immediately.

01

"List all my research projects in Dovetail."

02

"Create a new research note 'User A Interview' in project 'proj_123'."

03

"Show me all published insights containing the word 'mobile'."

Troubleshooting Dovetail MCP Server with OpenAI Agents SDK

Common issues when connecting Dovetail to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Dovetail + OpenAI Agents SDK FAQ

Common questions about integrating Dovetail MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.