Compatible with every major AI agent and IDE
Create agent on Chaindesk
Provide name, datastoreId, and system prompt. Create a new AI agent
Delete agent on Chaindesk
Delete an agent
Get agent on Chaindesk
Get details of a specific agent
Get datastore on Chaindesk
Get details of a datastore
Get messages on Chaindesk
Get messages from a conversation
List agents on Chaindesk
List all AI agents
List conversations on Chaindesk
Can be filtered by agentId. List chat conversations
List datastores on Chaindesk
List all datastores
Query agent on Chaindesk
Send a message to an agent
Update agent on Chaindesk
Update an existing agent
Upsert datasource on Chaindesk
Add or update a data source
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.
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.
How do I find my Chaindesk API Key?
Log in to your Chaindesk.ai account, navigate to Settings > API Keys, and generate a new key for your integration.
Supported Use Cases for Chaindesk
The Chaindesk integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Mastering llm training with Agents
The Chaindesk MCP translates LLM intent into specific llm training actions. Agents like Cursor use this to interface securely with your knowledge management infrastructure.
Secure custom chatbots Access for Agents
Integrate the Chaindesk server to handle custom chatbots requests natively. It provides the schemas required for ChatGPT and Cursor to manage knowledge management data.
Chaindesk. 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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