Compatible with every major AI agent and IDE
Delete documents on Relevance AI
This action is irreversible. Deletes documents from a dataset by their IDs
Get agent run on Relevance AI
Retrieves the status and logs of a specific agent run
Get documents on Relevance AI
Retrieves documents from a dataset
Insert documents on Relevance AI
Provide documents as a JSON array of objects. Inserts documents into a dataset
List agents on Relevance AI
Lists all AI agents in the Relevance AI studio
List datasets on Relevance AI
Lists all datasets (knowledge tables) in the project
List tasks on Relevance AI
Lists all tasks (chained prompts) in the studio
List tools on Relevance AI
Lists all custom tools registered in the studio
Trigger agent on Relevance AI
Provide inputs as a JSON object. Triggers an AI agent execution
Trigger task on Relevance AI
Triggers a specific task execution
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 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.
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.
Can the agent monitor a long-running relevance AI agent task?
Yes. You can trigger an agent using trigger_agent, and because it provides a run_id, you can explicitly prompt your local Assistant to periodically "check in on the status using get_agent_run every minute until finished" or ask it to summarize the step-by-step agent logs after completion.
How Chatbots Interact with Relevance AI
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Relevance AI infrastructure.
Intelligent multi agent systems Management
The Relevance AI toolkit enables AI agents to execute multi agent systems commands. It handles protocol translation for superpower integrations natively.
Managing autonomous agents inside Claude
The Relevance AI MCP manages API routing for autonomous agents. This enables AI agents like Claude Code to execute structured superpower queries.
Relevance AI. 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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