Compatible with every major AI agent and IDE
Create post on Beekeeper
Create a new post in a stream
Get tenant info on Beekeeper
Retrieve Beekeeper tenant information
Get user on Beekeeper
Get details of a specific user
List groups on Beekeeper
List Beekeeper groups
List messages on Beekeeper
List messages in a conversation
List posts on Beekeeper
List posts in a specific stream
List streams on Beekeeper
List Beekeeper streams (channels)
List users on Beekeeper
List all Beekeeper users
Search users on Beekeeper
Search for users by name or email
Send message on Beekeeper
Send a direct message to a user
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.
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.
Can I publish an urgent announcement to a specific stream from the agent?
Yes! Use the create_post action with the target Stream ID and your announcement text. Your agent will post it to Beekeeper instantly.
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 can AI Agents do with Beekeeper?
Build automated workflows with Cursor and Claude Code by connecting to the Beekeeper MCP server.
Automating frontline workers with AI
Use Beekeeper to manage frontline workers via conversational interfaces. The integration centralizes access control for communication messaging operations performed by ChatGPT.
LLM Orchestration for internal communications
Connect Beekeeper to your AI agents (Claude, ChatGPT, Cursor) to manage internal communications operations. The MCP server processes the underlying API requests and schema formatting for the communication messaging domain.
Beekeeper. 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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