AppGallery Connect MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AppGallery Connect 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 AppGallery Connect, 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 AppGallery Connect MCP Server
Connect AppGallery Connect to your AI agent and manage your mobile app lifecycle through natural conversation.
The Vercel AI SDK gives every AppGallery Connect tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- App Management — List all apps, view details, and check localization settings
- Build Submission — Get upload URLs and submit builds for review with status tracking
- Analytics — Access download stats, installation metrics, and performance data
- User Feedback — Read ratings, browse user comments, and reply directly
- Review Pipeline — Track submission status through the moderation process
The AppGallery Connect MCP Server exposes 11 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 AppGallery Connect to Vercel AI SDK via MCP
Follow these steps to integrate the AppGallery Connect 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 11 tools from AppGallery Connect and passes them to the LLM
Why Use Vercel AI SDK with the AppGallery Connect MCP Server
Vercel AI SDK provides unique advantages when paired with AppGallery Connect 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 AppGallery Connect integration everywhere
Built-in streaming UI primitives let you display AppGallery Connect 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
AppGallery Connect + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AppGallery Connect MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AppGallery Connect in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AppGallery Connect tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AppGallery Connect capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AppGallery Connect through natural language queries
AppGallery Connect MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect AppGallery Connect to Vercel AI SDK via MCP:
get_app_info
The appId can be found via list_apps. Get detailed information for a specific application
get_app_language_info
g. "en-US", "zh-CN", "pt-BR"). Get localized app information for a specific language
get_comments
Get user comments and reviews for an application
get_download_stats
Dates must be in YYYYMMDD format. Get download statistics for an application
get_install_stats
Dates must be in YYYYMMDD format. Get installation statistics for an application
get_rating_info
Get rating and review summary for an application
get_submission_status
Check the review status of a submitted application
get_upload_url
Specify the file suffix (e.g. "apk", "png"). Get a pre-signed upload URL for app binaries or assets
list_apps
List all applications in the AppGallery Connect account
reply_to_comment
Use get_comments to find comment IDs. Reply to a user comment on the AppGallery
submit_for_review
The app must have all required metadata and at least one valid binary uploaded. Submit an application for review and publication
Example Prompts for AppGallery Connect in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AppGallery Connect immediately.
"Show download stats for my top app this month."
Troubleshooting AppGallery Connect MCP Server with Vercel AI SDK
Common issues when connecting AppGallery Connect to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAppGallery Connect + Vercel AI SDK FAQ
Common questions about integrating AppGallery Connect 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 AppGallery Connect 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 AppGallery Connect to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.