Dovetail MCP Server for Mastra AIGive Mastra AI instant access to 7 tools to Create Insight, Create Note, Get Project Details, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Dovetail through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Dovetail app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"dovetail": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Dovetail Agent",
instructions:
"You help users interact with Dovetail " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Dovetail?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Dovetail tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire Dovetail into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Dovetail MCP Server
Mastra AI provides unique advantages when paired with Dovetail through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Dovetail without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Dovetail tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Dovetail + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Dovetail MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Dovetail, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Dovetail as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Dovetail on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Dovetail tools alongside other MCP servers
Example Prompts for Dovetail in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Dovetail to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDovetail + Mastra AI FAQ
Common questions about integrating Dovetail MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.