Percy MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Percy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Percy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Percy MCP Server
Inject precision quality assurance workflows directly bounding LLM models via the Percy Visual Testing API (by BrowserStack). Programmatically verify pixel regressions executing queries evaluating visual boundaries natively across target projects. Inspect deep status arrays parsing CI build limits dynamically, extract metrics evaluating granular snapshot checkpoints asynchronously, and force immediate test baseline approvals seamlessly directly from explicit prompt commands naturally.
The Vercel AI SDK gives every Percy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Project Navigation — Read bounded parameters tracking Percy deployments isolating configurations determining explicitly specific active QA targets natively
- Automated Build Oversight — Track specific arrays extracting dynamic checks returning pipeline checkpoints (approved/failed/unreviewed limits) explicitly seamlessly
- Visual Snapshot Operations — Log natively extracting bounds verifying comparison properties logging rendering differences mapping exact explicit width constraints
- Baseline Affirmations — Mutate bounding loops forcing active execution of JSON logic structurally bypassing native clicks allowing test approvals implicitly (
approve_buildorapprove_snapshot)
The Percy MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Percy to Vercel AI SDK via MCP
Follow these steps to integrate the Percy MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Percy and passes them to the LLM
Why Use Vercel AI SDK with the Percy MCP Server
Vercel AI SDK provides unique advantages when paired with Percy through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Percy integration everywhere
Built-in streaming UI primitives let you display Percy tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Percy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Percy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Percy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Percy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Percy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Percy through natural language queries
Percy MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Percy to Vercel AI SDK via MCP:
approve_build
/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
Approve a single Percy snapshot. Marks it as visually correct, updating the baseline for future comparisons
get_build_details
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
Get full details of a Percy project including name, slug, default branch, auto-approve enabled, browser targets, and build count
get_snapshot_details
Get full details of a Percy snapshot including name, review state, widths, fingerprint, and comparison count
list_browsers
List all supported browser families on Percy. Returns browser names, versions, and OS combinations for cross-browser visual testing
list_builds
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
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
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
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
Example Prompts for Percy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Percy immediately.
"Log explicitly the builds targeting structural limits seamlessly isolating project 'org-slug/my-app' dynamically checking bounding states natively."
"Reverse check explicit structures extracting limits comparing properties cleanly bounding snapshot ID 'snap_778' natively efficiently."
"Force explicit validation mutating boundaries executing structurally an approval across build ID '8910' automatically natively flawlessly securely."
Troubleshooting Percy MCP Server with Vercel AI SDK
Common issues when connecting Percy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPercy + Vercel AI SDK FAQ
Common questions about integrating Percy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Percy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Percy to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.