Compatible with every major AI agent and IDE
Get task details on Wrike
Retrieves comprehensive details for a specific Wrike task
List wrike contacts on Wrike
Lists all users and contacts within the Wrike workspace
List wrike folders on Wrike
Lists all folders and projects in the Wrike account
List wrike projects on Wrike
Lists all active projects in the account
List wrike spaces on Wrike
Lists all Wrike spaces available to the authenticated user
List wrike tasks on Wrike
You can optionally provide a folder_id to scope the results. Lists tasks in the Wrike account, optionally filtered by folder
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.
How do I find tasks belonging to a specific folder or project?
You can use the list_wrike_tasks tool and provide the unique folder_id. Your agent will return all tasks contained within that specific organizational unit, helping you stay focused on a specific project.
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.
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.
What can AI Agents do with Wrike?
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Wrike infrastructure.
AI Semantic Routing for task tracking
Add Wrike to your workspace to support task tracking automation. The integration processes the required parameters for productivity execution by LLMs.
AI-Driven workflow automation Workflows
The Wrike server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute productivity functions.
Wrike. 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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