Integrate Dovetail with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate insight on Dovetail
Create a new research insight
Create note on Dovetail
Create a new research note
Get project details on Dovetail
Get details for a research project
List insights on Dovetail
List research insights
List notes on Dovetail
List research notes
List projects on Dovetail
List all research projects
List workspace members on Dovetail
List workspace members
Security & Code Integrity Audit
Every tool in the Dovetail MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
What content types are supported for notes?
Notes support text/html, text/markdown, and text/plain. HTML is the default and recommended type for rich formatting.
Supported Use Cases for Dovetail
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Dovetail infrastructure.
Managing dovetail inside Claude
The Dovetail MCP manages API routing for dovetail. This enables AI agents like Claude Code to execute structured productivity queries.
Streamlining user research
The Dovetail integration allows Cursor and ChatGPT to securely fetch user research data. It handles the API requests required for productivity operations.
Dovetail. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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