Compatible with every major AI agent and IDE
Approve build on Percy
/approve` moving the test suite to green. Approve all unreviewed snapshots in a Percy build. Marks the entire build as visually approved for deployment
Approve snapshot on Percy
Approve a single Percy snapshot. Marks it as visually correct, updating the baseline for future comparisons
Get build details on Percy
Get full details of a Percy build including state, total/unreviewed snapshot counts, approved/rejected snapshots, branch, commit SHA, and finalized timestamp
Get project details on Percy
Get full details of a Percy project including name, slug, default branch, auto-approve enabled, browser targets, and build count
Get snapshot details on Percy
Get full details of a Percy snapshot including name, review state, widths, fingerprint, and comparison count
List browsers on Percy
List all supported browser families on Percy. Returns browser names, versions, and OS combinations for cross-browser visual testing
List builds on Percy
List builds for a Percy project. Each build contains snapshots from a test run. Returns build IDs, states (processing/finished/failed), branch names, commit SHAs, and snapshot counts
List comparisons on Percy
List visual comparisons for a Percy snapshot. Each comparison shows the diff between baseline and head at a specific width/browser. Returns diff images, diff percentages, and browser info
List projects on Percy
List all projects on Percy (BrowserStack). Percy is the leading visual regression testing platform that captures snapshots and detects pixel-level UI differences across builds. Uses JSON:API format. Returns project names, slugs, and browser configs
List snapshots on Percy
List snapshots in a Percy build. Each snapshot is a captured page/component at specific widths and browsers. Returns snapshot names, review states (unreviewed/approved/rejected), and diff percentages
How Vinkius protects your data
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Where structurally globally do I find my Explicit Percy integration token accurately gracefully?
Navigate explicit bounds inside your native Percy workspace parameters explicitly mapping 'Project Settings > Integrations/Tokens'. Globally limit testing node arrays explicitly generating Token strings seamlessly securely correctly internally securely elegantly here.
Percy Capabilities for AI Assistants
The Percy MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
LLM Orchestration for visual regression
The Percy server supports direct MCP connections for visual regression. This provides Claude with the required permissions to execute ship it functions.
AI-Driven ui testing Workflows
Build automated workflows involving ui testing by connecting Percy. It provides Claude and ChatGPT with direct API hooks into your ship it ecosystem.
Percy. 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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