Compatible with every major AI agent and IDE
Get message details on Courier
Touches delivery logs, provider responses, and rendering metadata boundary. Get details for a specific message by ID
Get message history on Courier
Resolves event types (SENT, DELIVERED, etc.) and detailed provider logs. Get the delivery history logs for a message
Get user profile on Courier
Resolves contact details (email, phone) and channel-specific delivery preferences. Get the profile data for a specific user
List audiences on Courier
Resolves audience IDs, names, and filter criteria used for segmentation. List saved audiences for targeted notifications
List brands on Courier
Resolves brand names, colors, and logo settings used for white-labeling notifications. List custom brands configured in Courier
List messages on Courier
Resolves message IDs, recipient identifiers, status (SENT, DELIVERED, OPENED, CLICKED), and timestamps. List sent messages and their current status
List subscription lists on Courier
Resolves list IDs, names, and subscriber counts. List subscription lists for managing recipients
List templates on Courier
Resolves template names, IDs, and supported channels. List available notification templates
List users on Courier
Resolves user IDs, roles, and account association details. List users registered in the Courier workspace
Send notification on Courier
Touches recipient profile, template engine, and multi-channel provider boundaries. Send a notification to a recipient
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Can I track if a message was opened?
Yes, the agent can use the get_message_details tool to check the status of a specific message, which includes tracking events like 'OPENED' or 'CLICKED' if supported by the provider.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Courier
Add the Courier tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
Next-Gen notifications Operations
The Courier MCP manages API routing for notifications. This enables AI agents like Claude Code to execute structured productivity queries.
Execute multi channel Commands with AI
The Courier toolkit provides secure access to multi channel functions. It enables conversational agents to manage productivity settings deterministically.
Courier. 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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