Compatible with every major AI agent and IDE
Archive action item on Fellow
Archive an action item, removing it from active views without deleting it
Complete action item on Fellow
Use when a task has been finished. Mark an action item as complete
Delete note on Fellow
Confirm with the user before executing — this cannot be undone. Permanently delete a meeting note by ID
Delete recording on Fellow
Confirm with the user before executing. Permanently delete a meeting recording by ID
Get action item on Fellow
Use to inspect a single task. Retrieve details of a specific action item by ID
Get current user on Fellow
Use to verify which account is connected. Retrieve the authenticated Fellow user profile
Get note on Fellow
Essential for reviewing a specific meeting. Retrieve the full content and metadata of a specific meeting note by ID
Get recording on Fellow
Use to access a specific recording. Retrieve details of a specific meeting recording
Get transcript on Fellow
Use for detailed review, compliance documentation, or extracting specific discussion points. Retrieve the full transcript of a meeting recording
List action items on Fellow
Use for cross-meeting task tracking and accountability. List all action items across all meetings
List notes on Fellow
Use as the primary entry point to browse all meeting documentation. List all meeting notes in the Fellow workspace
List recordings on Fellow
Use to browse all recorded meetings. List all meeting recordings captured by Fellow
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 I see all meeting notes in my workspace through the agent?
Absolutely. The 'list_notes' tool identifies bounded records inside your workspace, returning note IDs, titles, meeting dates, and participants to help you browse your meeting history natively.
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.
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 Fellow
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Prompting meeting management Workflows
Add meeting management functionality to your custom chatbots. The Fellow MCP handles the payload formatting required for ChatGPT and Claude to interface with business operations endpoints.
Execute task tracking Commands with AI
The Fellow toolkit provides secure access to task tracking functions. It enables conversational agents to manage business operations settings deterministically.
Fellow. 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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