How to Use the Dovetail MCP in Cursor

Q: Can I generate code based on Dovetail research notes in Cursor?

Yes. Use the listnotes tool to feed raw qualitative feedback from Dovetail directly to the Cursor agent so it can write code targeting specific user paint points.

Q: Can I use Dovetail MCP tools in Cursor Agent mode?

Absolutely. The Cursor agent uses tools like getprojectdetails to read your Dovetail research data and apply it to your active workspace files.

Q: How do I find active Dovetail research insights within Cursor?

Run listinsights inside the Cursor composer or chat panel. The tool returns the latest synthesized findings from your Dovetail product team.

Inject real Dovetail user insights directly into your Cursor codebase to build features based on verified qualitative data.

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Connect Dovetail MCP to Cursor

Create your Vinkius account to connect Dovetail to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dovetail with Cursor

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Pull Dovetail project data directly into Cursor

The `list_projects` tool exposes your entire qualitative Dovetail research directory to the Cursor agent as you write code using this MCP Server. You don't need to guess which product features correspond to user feedback when the Dovetail repository is available in Cursor.

Log user feedback using this MCP Server

The `create_note` tool lets you push raw bug reports or customer quotes from your Cursor terminal directly into Dovetail. Your Cursor agent can capture feedback during local testing and log it to Dovetail without forcing you to open a web browser.

Track research contributors inside Cursor

The `list_workspace_members` tool queries your Dovetail team directory to assign ownership to new research notes within Cursor. You can automatically tag the correct Dovetail project owner when logging a user issue from your Cursor workspace.

Setup guide

Set up Dovetail MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Dovetail MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Dovetail transactions." If the MCP tools are loaded correctly, Cursor will call the Dovetail tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "dovetail-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Dovetail MCP in Cursor

Add the Dovetail server configuration to your project's .cursor/mcp.json file. Once saved, the Cursor agent mode can query your research workspace.

Yes. Use the `list_notes` tool to feed raw qualitative feedback from Dovetail directly to the Cursor agent so it can write code targeting specific user paint points.

Absolutely. The Cursor agent uses tools like `get_project_details` to read your Dovetail research data and apply it to your active workspace files.

Run `list_insights` inside the Cursor composer or chat panel. The tool returns the latest synthesized findings from your Dovetail product team.

Your qualitative research notes and project structures are accessed via secure, direct API calls. Cursor runs these tools locally or through encrypted HTTPS endpoints, keeping your proprietary Dovetail user feedback private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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