Compatible with every major AI agent and IDE
Get integration details on UnifyApps
Retrieves details for a specific integration
List active connections on UnifyApps
Lists active account connections
List ai agents on UnifyApps
Lists configured AI agents in the UnifyApps environment
List automation flows on UnifyApps
Lists all automation flows defined in the platform
List flow executions on UnifyApps
Lists recent execution history for automation flows
List integrations on UnifyApps
Lists all configured integrations in UnifyApps
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Can the agent simultaneously retrieve all recent failed/successful automation execution logs natively?
Yes. Instigate the 'list_flow_executions' tool payload command. It bypasses internal visualization panels generating the chronological queue, so your model can deduce if major error clusters occurred instantly.
Triggering UnifyApps via Natural Language
Use UnifyApps with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
LLM Orchestration for integration platform
Connect UnifyApps to your AI agents (Claude, ChatGPT, Cursor) to manage integration platform operations. The MCP server processes the underlying API requests and schema formatting for the developer tools domain.
AI-Driven workflow automation Workflows
The UnifyApps server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute developer tools functions.
UnifyApps. 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.
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TypeScript-native agent framework for modern web stacks.
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
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