Compatible with every major AI agent and IDE
Add data source on Chatsistant
Add a new data source to a bot
Get bot on Chatsistant
Get details for a specific bot
Get conversation on Chatsistant
Get details for a specific conversation
List bots on Chatsistant
List Chatsistant bots
List conversations on Chatsistant
Optionally filter by bot ID. List bot conversations
List data sources on Chatsistant
List bot data sources
List webhooks on Chatsistant
List configured webhooks
Query bot on Chatsistant
Query a bot knowledge base
How Vinkius protects your data
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.
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 audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I browse conversation histories across all my bots?
Yes. Use list_conversations to retrieve all chat sessions — optionally filter by a specific Bot ID. Then use get_conversation with the Conversation ID to inspect the full message timeline, including user questions, bot responses, and timestamps.
Supported Use Cases for Chatsistant
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Chatsistant infrastructure.
Cursor Copilot for ai assistant
Integrate ai assistant features into your LLM framework using Chatsistant. The MCP server ensures precise command execution across your customer support stack.
AI Semantic Routing for white label
Deploy the Chatsistant toolkit to manage white label. The integration offers robust endpoints for ChatGPT to control customer support settings.
Chatsistant. 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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