Compatible with every major AI agent and IDE
Clear conversation on Coze
Clear all messages from a conversation session
Create chat on Coze
Send a message to a Coze bot and get a response
Delete document on Coze
Delete documents from a dataset by ID
Get conversation history on Coze
Retrieve the message list from a conversation
List bots on Coze
List published bots in a specific Coze Space
List datasets on Coze
List knowledge base datasets in a Coze Space
List workspaces on Coze
List available Coze workspaces/spaces
Publish bot on Coze
Publish a Coze Bot draft
Submit tool outputs on Coze
Submit outputs for tools/plugins required by the bot
Upload document on Coze
Upload a raw text document to a Knowledge Base
Upload file url on Coze
Upload an external file URL to Coze storage
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.
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.
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.
How do I upload a new document to my knowledge base?
Use the upload_document tool with the target Dataset ID and the raw text content. Your agent will handle the ingestion process into the Coze RAG engine.
Automated Workflows using Coze
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Seamless coze Integration
Integrate Coze for AI-driven coze management. The MCP server structures the outputs required for Claude to analyze industry titans data.
Claude Code Integration for bytedance
The Coze connection gives ChatGPT direct access to bytedance tools. The integration handles the logic required for continuous industry titans operations.
Coze. 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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