Dovetail MCP Server
Provides tools for interacting with the Dovetail API, enabling AI agents to manage insights, projects, and data programmatically.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Dovetail MCP Serversearch for insights about user onboarding"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Dovetail MCP Server
A Model Context Protocol (MCP) server for connecting AI tools to the Dovetail API.
Note: This is the npm package distribution of the official Dovetail MCP server. The canonical source lives in the Dovetail MCP GitHub repository.
Disclaimer
This package may not always reflect the very latest changes from the upstream repository. As of now, it corresponds to upstream Release 0.3. For the most up-to-date code and releases, please refer to the repository linked above.
Related MCP server: Anytype MCP Server
Prerequisites
Node.js 22 or higher (download Node from nodejs.org)
A Dovetail API token (see Dovetail API Documentation for details on obtaining one)
Get a Dovetail API token
In Dovetail, go to Settings → Account → Personal API keys.
Generate a new token and copy it.
Set it in your environment as
DOVETAIL_API_TOKEN.
For details, see Dovetail’s MCP server docs: docs.dovetail.com/integrations/mcp-server.
Configuration
Use this configuration style in MCP-compatible clients (e.g., Claude Desktop, Cursor). It invokes the server via npx and passes your API token via environment variable.
{
"mcpServers": {
"dovetail-mcp-server": {
"command": "npx",
"args": ["-y", "dovetail-mcp-server"],
"env": {
"DOVETAIL_API_TOKEN": "<YOUR_TOKEN>"
}
}
}
}License
MIT
Maintenance
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If you are the server author, to access and configure the admin panel.
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