Integrate DoubleTick with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet contact details on DoubleTick
Get detailed profile and conversation status for a specific contact
Get doubletick account metadata on DoubleTick
Retrieve metadata and limits for your DoubleTick account
List approved templates on DoubleTick
List all approved WhatsApp message templates in your account
List conversation messages on DoubleTick
List messages from a specific conversation
List latest whatsapp messages on DoubleTick
Identify the most recently received or sent messages across all conversations
List opted in contacts on DoubleTick
Identify contacts that have explicitly opted in for WhatsApp communications
List whatsapp contacts on DoubleTick
List all contacts registered in your DoubleTick account
Quick whatsapp volume audit on DoubleTick
Retrieve a high-level summary of messaging activity and success rates
Search contacts by keyword on DoubleTick
Search for contacts using a name keyword or phone number
Send whatsapp template on DoubleTick
Send a pre-approved WhatsApp template message
Security & Code Integrity Audit
Every tool in the DoubleTick 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
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Does the integration support contact tags?
Yes, you can use the get_contact_details tool to retrieve any tags or custom fields associated with your WhatsApp contacts.
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.
Supported Use Cases for DoubleTick
We map standard API endpoints to agent-compatible instructions. Connect DoubleTick to execute these core functional operations.
AI Semantic Routing for whatsapp api
Integrate whatsapp api features into your LLM framework using DoubleTick. The MCP server ensures precise command execution across your communication messaging stack.
AI-Driven business messaging Workflows
The DoubleTick server supports direct MCP connections for business messaging. This provides Claude with the required permissions to execute communication messaging functions.
DoubleTick. 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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