# Dovetail

```json
{
  "name": "Dovetail",
  "slug": "dovetail",
  "url": "https://composio.dev/toolkits/dovetail",
  "markdown_url": "https://composio.dev/toolkits/dovetail.md",
  "logo_url": "https://logos.composio.dev/api/dovetail",
  "categories": [
    "analytics & data"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:09:39.806Z"
}
```

![Dovetail logo](https://logos.composio.dev/api/dovetail)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Dovetail MCP or direct API to analyze interview transcripts, code research responses, extract insights, and summarize survey feedback through natural language.

## Summary

Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries.

## Categories

- analytics & data

## Toolkit Details

- Tools: 51

## Images

- Logo: https://logos.composio.dev/api/dovetail

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Dovetail.
  - Setup:
    - Configure Api Key credentials for Dovetail.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize all data points for project X
- Create a new insight from interview notes
- List every contact added this month
- Delete a topic from the feedback channel

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DOVETAIL_CREATE_CHANNEL` | Create Channel | Creates a new channel in Dovetail to organize and collect feedback data. Channels are containers for specific types of customer feedback such as app reviews, NPS responses, churn reasons, product reviews, or support tickets. Use this to set up a new data collection source before importing feedback data. |
| `DOVETAIL_CREATE_CONTACT` | Create Contact | Tool to create a new contact in Dovetail. Use when you need to register a contact before logging interactions. |
| `DOVETAIL_CREATE_DATA` | Create Data | Tool to create a data item in a Dovetail project with text content, title, and/or structured fields. Use when you need to capture and store research data, interview notes, or other content in a project. |
| `DOVETAIL_CREATE_DATA_POINT` | Create Data Point | Tool to create a data point within a channel. Use after capturing new content to record and classify it in Dovetail. |
| `DOVETAIL_CREATE_DOC` | Create Doc | Tool to create a doc in a Dovetail project with text content, title and/or custom fields. Use when you need to document research findings, store notes, or create structured content within a project. The doc content is stored but not returned in the response. |
| `DOVETAIL_CREATE_INSIGHT` | Create Insight | Creates a new insight in Dovetail to store synthesized research findings, observations, or conclusions. Use this tool when you need to document and save key findings from user research, interviews, or data analysis. Insights can optionally be linked to a project for better organization. Returns the created insight's ID, title, creation timestamp, and other metadata. Note: The body content is stored but not included in the response. |
| `DOVETAIL_CREATE_NOTE` | Create Note | Tool to create a note in a Dovetail project with text content, title and/or custom fields. Use when you need to document research notes, store interview findings, or create structured content within a project. The note content is stored but not returned in the response. |
| `DOVETAIL_CREATE_PROJECT` | Create Project | Tool to create a new project in your Dovetail workspace. Use when you need to create a project to organize research data. |
| `DOVETAIL_CREATE_TOPIC` | Create Topic | Tool to create a new topic in a Dovetail channel. Requires channel_id, title, and description. Use to organize feedback within channels by creating themed discussion topics. |
| `DOVETAIL_DELETE_CHANNEL` | Delete Channel | Tool to delete an existing channel. Use when you need to remove a channel and move it to the project's trash (restorable for 30 days). Confirm the channel ID before calling. |
| `DOVETAIL_DELETE_DATA` | Delete Data | Tool to delete an existing data item. Use when you have confirmed the data ID and want to move it to trash (restorable for 30 days). Example: "Delete data with ID 1tFfvvAmYPCLUqb9zO8dgN." |
| `DOVETAIL_DELETE_DOC` | Delete Doc | Tool to delete an existing doc. Use when you need to remove a doc and move it to the project's trash (restorable for 30 days). |
| `DOVETAIL_DELETE_INSIGHT` | Delete Insight | Tool to delete an existing insight. Use when you have confirmed the insight ID and want to move it to trash (restorable for 30 days). |
| `DOVETAIL_DELETE_NOTE` | Delete Note | Tool to delete an existing note. Use when you have confirmed the note ID and want to move it to trash (restorable for 30 days). |
| `DOVETAIL_DELETE_TOPIC` | Delete Topic | Tool to delete an existing topic. Use when you have confirmed the topic ID and want to move it to trash (restorable for 30 days). Example: "Delete topic with ID 123e4567-e89b-12d3-a456-426614174000." |
| `DOVETAIL_EXPORT_DATA` | Export Data | Tool to export data in HTML or Markdown format. Use when you need to retrieve a formatted version of data items from Dovetail. |
| `DOVETAIL_EXPORT_DOC` | Export Doc | Tool to export a doc in HTML or Markdown format. Use when you need to retrieve the full content of a doc from Dovetail in a specific format. |
| `DOVETAIL_EXPORT_INSIGHT` | Export Insight | Tool to export an insight in HTML or Markdown format. Use when you need to retrieve the full content of an insight for documentation, reporting, or sharing purposes. The exported content includes the insight's title and body in the specified format. |
| `DOVETAIL_EXPORT_NOTE` | Export Note | Tool to export a note from Dovetail in HTML or Markdown format. Use when you need to retrieve the full content of a note in a specific export format. |
| `DOVETAIL_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact. Use when you have confirmed the contact ID and need full contact metadata from Dovetail. |
| `DOVETAIL_GET_DATA` | Get Data | Tool to retrieve details of a specific data item by ID. Use when you have confirmed the data ID and need full metadata including custom fields, files, and project information from Dovetail. |
| `DOVETAIL_GET_DOC` | Get Doc | Tool to retrieve details of a specific doc by ID. Use when you have confirmed the doc ID and need full doc metadata from Dovetail. |
| `DOVETAIL_GET_FILE` | Get File | Tool to retrieve details of a specific file by its ID. Use when you need file metadata, download URL, or processing status from Dovetail. |
| `DOVETAIL_GET_FOLDER` | Get Folder | Tool to retrieve details of a specific folder. Use when you have confirmed the folder ID and need full folder metadata from Dovetail. |
| `DOVETAIL_GET_INSIGHT` | Get Insight | Tool to retrieve details of a specific insight by ID. Use when you need full insight metadata from Dovetail. |
| `DOVETAIL_GET_NOTE` | Get Note | Tool to retrieve details of a specific note. Use when you have confirmed the note ID and need full note metadata from Dovetail. |
| `DOVETAIL_GET_PROJECT` | Get Project | Tool to retrieve details of a specific project. Use when you have confirmed the project ID and need full project metadata from Dovetail. |
| `DOVETAIL_GET_TOKEN_INFO` | Get Token Info | Retrieves information about the current API token, including its unique identifier and the associated workspace subdomain. Use this to verify which workspace the token belongs to. |
| `DOVETAIL_IMPORT_DATA_FILE` | Import Data File | Tool to import a public URL of a file as new data in Dovetail. Use when you need to add external files to a project. |
| `DOVETAIL_IMPORT_DOC_FILE` | Import Doc File | Tool to import a public file URL as a new doc in Dovetail. Use when you need to create a doc from an external file source. The file must be publicly accessible at the provided URL. |
| `DOVETAIL_IMPORT_INSIGHT_FILE` | Import Insight from File | Tool to import a file from a public URL as a new insight in Dovetail. Use when you need to create an insight from an external file source such as PDFs, images, or documents. The file must be publicly accessible for Dovetail to fetch and import it. After import, the insight can be analyzed, tagged, and connected to projects. |
| `DOVETAIL_IMPORT_NOTE_FILE` | Import Note File | Tool to import a file from a public URL as a new note in Dovetail. Use when you need to create a note by importing content from an accessible file URL (PDF, video, audio, etc.). |
| `DOVETAIL_LIST_CONTACTS` | List Contacts | Retrieves a paginated list of contacts from a Dovetail workspace. Returns contact IDs, names, creation timestamps, and custom fields. Use cursor-based pagination (limit + start_cursor) to navigate large contact lists efficiently. |
| `DOVETAIL_LIST_DATA` | List Data | Tool to list data items in Dovetail. Use when you need to retrieve, filter, sort, or paginate through your workspace data. Supports filtering by created_at (date range), project_id, and title. Results can be sorted by created_at or title. Uses cursor-based pagination with configurable page size. |
| `DOVETAIL_LIST_DOCS` | List Docs | Tool to list docs in a Dovetail workspace with optional filtering, sorting, and pagination. Use when you need to retrieve docs, optionally filtered by project, title, content, or creation date. |
| `DOVETAIL_LIST_FOLDERS` | List Folders | Tool to get a list of folders associated with a workspace. Use when you need to retrieve folder hierarchy, search for folders by title, or navigate the folder structure with pagination support. |
| `DOVETAIL_LIST_HIGHLIGHTS` | List Highlights | List highlights from your Dovetail workspace with optional filtering and pagination. Use this action to retrieve highlights that have been created across your notes and projects. Supports filtering by project or note, and cursor-based pagination for large result sets. |
| `DOVETAIL_LIST_INSIGHTS` | List Insights | Tool to get a list of insights associated with a workspace. Use when you need to retrieve insights with optional filtering by project, publication status, or title, and support for cursor-based pagination. |
| `DOVETAIL_LIST_NOTES` | List Notes | List notes in Dovetail workspace with optional pagination and sorting. Use this tool to retrieve notes from your Dovetail workspace. Supports pagination for large result sets and sorting options. Returns note metadata including IDs, titles, timestamps, and associated project information. |
| `DOVETAIL_LIST_PROJECTS` | List Projects | Tool to list all projects in Dovetail. Use after authenticating with a valid workspace token when you need to retrieve the full project list. |
| `DOVETAIL_LIST_TAGS` | List Tags | List all tags in the authenticated Dovetail workspace. Returns tag details including title, color, highlight count, and timestamps. Supports pagination for workspaces with many tags. |
| `DOVETAIL_LIST_USER_DOCS` | List User Docs | Tool to get a list of docs associated with a user in Dovetail. Use when you need to retrieve documents for a specific user or the authenticated user (use 'me' as user_id). |
| `DOVETAIL_LIST_USER_INSIGHTS` | List User Insights | List personal insights for a user in Dovetail. Returns a paginated list of insights including their IDs, titles, creation dates, and published status. Use DOVETAIL_GET_TOKEN_INFO to obtain a valid user_id. |
| `DOVETAIL_MAGIC_SEARCH` | Magic Search | Tool to perform a magic search across workspace data. Use when you need to retrieve relevant highlights, notes, insights, channels, themes, or tags by query. |
| `DOVETAIL_UPDATE_CHANNEL` | Update Channel | Tool to update an existing channel's title or context. Use after confirming the channel ID and fields to change. |
| `DOVETAIL_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact in Dovetail. Use when you need to modify a contact's name, email, or custom fields. |
| `DOVETAIL_UPDATE_DATA` | Update Data | Tool to update a data item in Dovetail. Use when you need to modify the title or fields of an existing data item. |
| `DOVETAIL_UPDATE_DOC` | Update Doc | Tool to update a doc in Dovetail. Use when you need to modify a doc's title or custom fields. |
| `DOVETAIL_UPDATE_INSIGHT` | Update Insight | Updates an existing insight in Dovetail, allowing you to modify the title and custom fields. Use when you need to revise insight information, correct titles, or update custom field values. |
| `DOVETAIL_UPDATE_NOTE` | Update Note | Tool to update an existing note in Dovetail. Use when you need to modify a note's title, content, or custom fields. Example: "Update note 8IFq5LEC6hV1Vgsu0jPNJ with new title 'Q1 Review'". |
| `DOVETAIL_UPDATE_TOPIC` | Update Topic | Tool to update an existing topic. Use after confirming the topic ID and fields to change. Example: "Update topic with id 123... to have title 'New'". |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Dovetail Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Dovetail actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Summarize all feedback for project Q2 launch'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Summarize all feedback for project Q2 launch'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and Claude Agent SDK
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Create Tool Router Session

Initialize the Composio client and create a Tool Router session
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });

console.log("Creating Tool Router session...");
const { mcp } = await composio.create('your-user-id');
console.log(`Tool Router session created: ${mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Dovetail tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('List all contacts in the workspace')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText, stepCountIs } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: mcp.url,
    headers: { 'x-api-key': 'your-composio-api-key' }
  }
});

const tools = await client.tools();

const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{ role: 'user', content: 'List all contacts in the workspace' }],
  stopWhen: stepCountIs(5)
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Dovetail Integration

- Supports both Dovetail MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Dovetail data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Dovetail access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Dovetail
- Scoped, least privilege access to Dovetail resources
- Full audit trail of agent actions to support review and compliance

## Use Dovetail with any AI Agent Framework

Choose a framework you want to connect Dovetail with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/dovetail/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/dovetail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/dovetail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/dovetail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/dovetail/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/dovetail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/dovetail/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/dovetail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/dovetail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/dovetail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/dovetail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/dovetail/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/dovetail/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/dovetail/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/dovetail/framework/autogen)

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## Frequently Asked Questions

### Do I need my own developer credentials to use Dovetail with Composio?

Yes, Dovetail requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)