dovetail

name

dovetail

description

Dovetail is an AI-native customer intelligence platform that centralises and synthesises feedback from interviews, support tickets, reviews and research data—helping teams uncover themes, drive product decisions and act on voice-of-customer in one unified workspace. Read and write Dovetail data through One: docs, insights, data, notes, channels, contacts and more, 58 actions with real parameter documentation. Use whenever the user asks to look something up in Dovetail, create or update a record there, or build code against the Dovetail API.

Dovetail through One

Dovetail is an AI-native customer intelligence platform that centralises and synthesises feedback from interviews, support tickets, reviews and research data—helping teams uncover themes, drive product decisions and act on voice-of-customer in one unified workspace.

One exposes Dovetail through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

1. Find the action in the table below, or call search_one_platform_actions with platform dovetail if it is not listed.
2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Dovetail is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.