Compatible with every major AI agent and IDE
Create entry on Zenkit
Requires a JSON object with field values. Create a new entry in a list
Delete entry on Zenkit
Delete an entry from a list
Get list details on Zenkit
Get details for a specific list
Get workspace details on Zenkit
Get details for a specific workspace
List elements on Zenkit
List all elements (fields) defined in a list
List entries on Zenkit
List all entries (items) in a list
List workspaces on Zenkit
List all workspaces and their lists
Update entry on Zenkit
Update an existing entry
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.
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.
Can I filter entries in a list?
The current list_entries tool retrieves all items. For complex filtering, you can provide field-specific values when using the create or update tools.
Triggering Zenkit via Natural Language
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Scaling task management via MCP
Add task management functionality to your custom chatbots. The Zenkit MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
LLM Orchestration for workspace collaboration
Connect Zenkit to your AI agents (Claude, ChatGPT, Cursor) to manage workspace collaboration operations. The MCP server processes the underlying API requests and schema formatting for the productivity domain.
Zenkit. 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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