Appfigures 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 Appfigures 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 Appfigures, 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 Appfigures MCP Server
The Appfigures MCP Server provides your AI agent with direct access to your mobile app intelligence and store data. Gain instant insights into your app's performance across iOS, Google Play, and other major stores using simple natural language.
The Vercel AI SDK gives every Appfigures 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.
Key Features
- Product Management — List and search for your apps and those of your competitors across all major app stores.
- Sales & Revenue Reporting — Get detailed reports on downloads, updates, returns, and net proceeds.
- Subscription Analytics — Monitor your subscription health, churn, and active subscriber metrics.
- Review Analysis — Retrieve and analyze user feedback to identify bugs, feature requests, and sentiment.
- Rankings & Visibility — Track your daily category and keyword rankings to optimize your ASO strategy.
- Competitive Intelligence — Search and monitor any app on the market to stay ahead of the competition.
The Appfigures 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 Appfigures to Vercel AI SDK via MCP
Follow these steps to integrate the Appfigures 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 Appfigures and passes them to the LLM
Why Use Vercel AI SDK with the Appfigures MCP Server
Vercel AI SDK provides unique advantages when paired with Appfigures 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 Appfigures integration everywhere
Built-in streaming UI primitives let you display Appfigures 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
Appfigures + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Appfigures MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Appfigures in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Appfigures tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Appfigures capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Appfigures through natural language queries
Appfigures MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Appfigures to Vercel AI SDK via MCP:
get_account_check
Verify Appfigures account connection
get_external_accounts
List linked store accounts
get_ranks
Get daily category and keyword rankings
get_revenue_report
Get revenue and proceeds data
get_sales_report
Get sales data (downloads, updates, returns)
get_subscriptions_report
Get subscription metrics (active, churn, etc.)
get_user_info
Retrieve authenticated user information
list_featured
Track when apps are featured on app stores
list_my_products
List all mobile apps in your Appfigures account
list_reviews
List app reviews for your products
search_products
Search for any mobile app across all supported stores
Example Prompts for Appfigures in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Appfigures immediately.
"Show me the sales report for the last 30 days."
"What are the latest reviews for my iOS app?"
"Search for the 'Instagram' app on the App Store."
Troubleshooting Appfigures MCP Server with Vercel AI SDK
Common issues when connecting Appfigures to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAppfigures + Vercel AI SDK FAQ
Common questions about integrating Appfigures 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 Appfigures 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 Appfigures to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.