Compatible with every major AI agent and IDE
Channels get info on Flock
Retrieve explicit Channel descriptions and banner logic mappings
Channels list members on Flock
Identify explicit Active UUIDs directly attached evaluating Channel ingress
Channels list public on Flock
Enumerate explicitly attached `public` channels active within Flock
Chat fetch messages on Flock
Extracts raw JSON objects mapping historical strings natively returned by `chat.fetchMessages`. Read recent structural Chat payloads targeting a Flock Room
Chat send message on Flock
Detects if formatted `<flockml>` definitions are passed and converts the payload dynamically bypassing standard Markdown limits rendering rich enterprise attachments. Provision a massively fast payload strictly into an established Flock Chat
Groups get info on Flock
Inspect deep internal credentials identifying a precise Private Group
Groups list members on Flock
Crucial for verifying sensitive message targets. Audit IAM boundaries explicitly granting read permissions to a Group
Groups list private on Flock
Returns arrays necessary to retrieve correct routing UUIDs. Identify bounded Private Groups tracking strict IAM boundaries
Roster list directory on Flock
Returns explicit array definitions mapping direct `@` aliases to absolute string UUIDs solving accurate routing natively. Identify precise active Human constraints navigating the entire Flock company
Users get metadata on Flock
Perform structural extraction of metadata linked to a Flock Identity
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.
Can my agent send formatted messages using FlockML?
Yes. Use the 'chat_send_message' tool and provide your XML string in the 'flockml' parameter. The agent will bypass standard Markdown limits to render rich enterprise attachments and layouts natively in Flock.
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.
Flock Capabilities for AI Assistants
Use Flock with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Mastering team chat with Agents
The Flock MCP manages API routing for team chat. This enables AI agents like Claude Code to execute structured productivity queries.
Seamless instant messaging Integration
Integrate Flock for AI-driven instant messaging management. The MCP server structures the outputs required for Claude to analyze productivity data.
Flock. 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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