Dovetail MCP Server
Provides tools for interacting with the Dovetail API, enabling AI agents to manage insights, projects, and data programmatically.
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 search 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: productboard-mcp
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
Available Tools
7 toolsget_data_contentB
Export a data item to Markdown format by ID (note/transcript content).
Inputs: data_id (required).
get_dovetail_projectsB
List all Dovetail projects.
Inputs: page, filter, sort.
get_project_dataB
Retrieve a project by ID (raw note/transcript with metadata).
Inputs: data_id (required).
get_project_insightB
Retrieve a Dovetail Insight by ID (research finding).
Inputs: insight_id (required).
list_personal_project_insightsC
List insights for a specific user's projects
Inputs: user_id (required), page, filter, sort.
list_project_dataC
List data for a specific project
Inputs: page, filter, sort.
list_project_insightsC
Search and paginate Dovetail Insights by project.
Inputs: page, filter, sort.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Most tools have distinct purposes, but get_project_data and list_project_data could be confused since both involve project data; descriptions clarify but potential ambiguity remains.
All tools use consistent snake_case with 'get_' for single items and 'list_' for collections, following a predictable pattern.
7 tools is well-scoped for a research platform, covering projects, data, insights, and export without being too few or too many.
Covers core read operations (list, get, export) but lacks a global search across projects or data; minor gaps that agents can work around.
Maintenance
Related MCP Connectors
Search and use your Circleback meeting notes, transcripts, and action items in AI tools
Your AI, fluent in your marketing Connect Distinctful to any of your favorite AI tools. Your AI finds posts outperforming in your space, works from your strategy and the patterns behind what's working, and schedules posts only when you say so. The ideas and winning edge stay distinctly yours. Hosted Streamable HTTP with OAuth. A Distinctful account on Grow or higher is required.
Connect ChatGPT or Claude to your CRM, store or shipping API. Keys stay out of the chat.
Connect AI agents to 1000+ apps with managed authentication and tool-calling.
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