Applitools 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 Applitools 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 Applitools, 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 Applitools MCP Server
Connect your Applitools Eyes testing suite to your AI agent and manage your entire visual regression pipeline without opening the dashboard. Allow your agent to spot UI changes, validate baselines, and assess testing health dynamically.
The Vercel AI SDK gives every Applitools 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
- Batch Observability — Query active test batches to view aggregated statuses (Passed, Failed, Unresolved) and completion rates
- Session & Results analysis — Drill down into specific test sessions to examine failed step images, match levels, and browser differences
- Baseline Management — List your "golden" graphical baselines bound to applications or specific Git branches
- Actionable Maintenance — Authorize the agent to delete outdated baselines or discard legacy batches to keep your workspace clean
- Key Validation — Ensure connectivity against your visual AI engine before pipeline triggers
The Applitools 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 Applitools to Vercel AI SDK via MCP
Follow these steps to integrate the Applitools 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 Applitools and passes them to the LLM
Why Use Vercel AI SDK with the Applitools MCP Server
Vercel AI SDK provides unique advantages when paired with Applitools 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 Applitools integration everywhere
Built-in streaming UI primitives let you display Applitools 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
Applitools + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Applitools MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Applitools in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Applitools tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Applitools capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Applitools through natural language queries
Applitools MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Applitools to Vercel AI SDK via MCP:
delete_baseline
Use when a baseline is outdated or a page has been redesigned. Delete an Applitools test baseline
delete_batch
Does NOT affect baselines. Use with caution — this is irreversible. Delete an Applitools test batch
get_batch
Use batch ID from list_batches. Get full details of an Applitools batch
get_batch_stats
Returns passed/failed/unresolved/new counts without full test data. Get summary statistics for an Applitools batch
get_session
Provide batch ID and session ID. Get details of a test session within an Applitools batch
list_baselines
Returns baseline IDs, names, and env configs. Filter by app name. List visual baselines for an app on Applitools
list_batches
Batches group related test sessions. Returns batch IDs, names, statuses (Passed/Unresolved/Failed), and test counts. Each batch has a unique ID used to query its results. List all test batches on Applitools Eyes
list_branch_baselines
Use to inspect branch-specific visual states. List baselines for a specific branch on Applitools
list_results
List all test results in an Applitools batch
validate_key
Use to verify connectivity before running tests. Validate the Applitools API key
Example Prompts for Applitools in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Applitools immediately.
"List the most recent visual test batches in Applitools."
"Get me the exact session results for our unresolved batch ID b_991x."
"List the baselines assigned specifically to fixing the 'feature/dark-mode-header' branch."
Troubleshooting Applitools MCP Server with Vercel AI SDK
Common issues when connecting Applitools to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpApplitools + Vercel AI SDK FAQ
Common questions about integrating Applitools 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 Applitools 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 Applitools to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.