Provides tools for interacting with the Dovetail API, enabling AI agents to access and manage Dovetail resources.
Click on "Deploy 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 Server show me my recent projects"
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.
A Model Context Protocol (MCP) server for connecting AI tools to the Dovetail API.
Node.js 22 or higher (download Node from nodejs.org)
A Dovetail API token (see Dovetail API Documentation for details on obtaining one)
Related MCP server: MeetGeek MCP Server
Download the latest index.js here
Head over to configuration to continue
Clone the repository:
git clone https://github.com/dovetail/dovetail-mcp.git
cd dovetail-mcpInstall dependencies:
yarn installBuild the project:
yarn buildLocate and copy the dist/index.js filepath (this will copy the path to your clipboard for the configuration step):
realpath dist/index.js | pbcopyWe recommend setting this up in an MCP client like Claude or Cursor by entering the following:
Claude: Please see the MCP website for step by step instructions
Cursor: Navigate to Settings → Tools & Integrations → Add Custom MCP
{
"mcpServers": {
"dovetail-mcp": {
"command": "node",
"args": ["<path-to-your-index-js-file>"],
"env": {
"DOVETAIL_API_TOKEN": "<YOUR_TOKEN>"
}
}
}
}MIT
This server cannot be deployed
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