Compatible with every major AI agent and IDE
Get device details on Perfecto
Get full details of a Perfecto device including model, OS, firmware, manufacturer, resolution, location, and current status
Get execution details on Perfecto
Get status of a Perfecto execution by ID. Returns status, progress, device assignments, and timestamps
Get license info on Perfecto
Get Perfecto license information. Returns license type, device limits, concurrent executions, and expiration
Get report summary on Perfecto
Get Smart Reporting summary for a Perfecto execution. Returns test results, pass/fail counts, video/screenshot links, and detailed step data
List artifacts on Perfecto
List artifacts in Perfecto repository at a given path. Includes apps, scripts, images, and data files
List device groups on Perfecto
List device groups on Perfecto. Groups organize devices by type/OS/team. Returns group names and member devices
List devices on Perfecto
List all available devices on Perfecto Cloud. Perfecto (by Perforce) is an enterprise mobile and web testing cloud with real devices and browsers. Returns device IDs, models, OS versions, manufacturers, locations, and availability statuses
List executions on Perfecto
List current/recent executions on Perfecto. Returns execution IDs, statuses, script names, devices used, and timestamps
List reservations on Perfecto
List device reservations on Perfecto. Returns reservation IDs, devices, users, start/end times
List users on Perfecto
List all users on the Perfecto cloud. Returns usernames, roles, emails, and access levels
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.
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.
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.
Where strictly explicitly do I locate my native Security API key bounded gracefully inside settings?
Explore explicit parameters exploring inside native UI boundaries effectively structurally tracking 'My Profile > Security Token' natively seamlessly generating offline hashes explicitly carefully correctly safely tracking parameters beautifully correctly.
How Chatbots Interact with Perfecto
Build automated workflows with Cursor and Claude Code by connecting to the Perfecto MCP server.
The Future of qa automation
The Perfecto integration allows Cursor and ChatGPT to securely fetch qa automation data. It handles the API requests required for developer tools operations.
Cursor Copilot for software testing
Integrate software testing features into your LLM framework using Perfecto. The MCP server ensures precise command execution across your developer tools stack.
Perfecto. 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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