Compatible with every major AI agent and IDE
Chat add reaction on Pumble
Adds an emoji reaction to a message
Chat delete message on Pumble
This action is irreversible. Deletes a message from a Pumble channel
Chat history messages on Pumble
Retrieves recent messages from a channel
Chat post message on Pumble
Specify the channel ID and the message text. Sends a message to a Pumble channel
Chat update message on Pumble
Updates a pre-existing message
Create chat channel on Pumble
Specify name and whether it should be private. Creates a new communication channel
Get channel info on Pumble
Retrieves detailed information about a specific channel
Get user info on Pumble
Retrieves detailed information for a specific user
List all channels on Pumble
Lists all public and private channels available in the workspace
List workspace users on Pumble
Lists all users in the Pumble workspace
How Vinkius protects your data
Can my AI automatically reply to unread issues?
Yes. You can instruct your agent to regularly fetch messages from a specific channel (chat_history_messages). The agent can evaluate questions, generate answers based on your knowledge base, and then use chat_post_message to post the solution back to the team instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
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.
Triggering Pumble via Natural Language
The Pumble MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Execute messaging Commands with AI
The Pumble MCP translates LLM intent into specific messaging actions. Agents like Cursor use this to interface securely with your collaboration tools infrastructure.
The Future of team collaboration
The Pumble connection gives ChatGPT direct access to team collaboration tools. The integration handles the logic required for continuous collaboration tools operations.
Pumble. 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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