GrowingIO 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 GrowingIO 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 GrowingIO, 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 GrowingIO MCP Server
Empower your AI agent to orchestrate your product analytics and user behavioral data with GrowingIO, the premier analytical platform in China. By connecting GrowingIO to your agent, you transform complex event tracking, user segmentation, and metric analysis into a natural conversation. Your agent can instantly list tracked events, retrieve detailed user segment metadata, monitor conversion funnels, and execute quantitative metric queries without you ever needing to navigate the comprehensive GrowingIO web interface. Whether you are conducting a product health audit or monitoring real-time campaign performance, your agent acts as a real-time data analyst assistant, keeping your product data accurate and your growth moving.
The Vercel AI SDK gives every GrowingIO 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
- Event Orchestration — List and retrieve detailed metadata for all tracked behavioral events in your project.
- User Segmentation — Browse and monitor user segments to identify high-value cohorts and behavioral patterns.
- Metric Querying — Execute quantitative queries to retrieve specific performance metrics via natural language.
- Funnel Auditing — Retrieve detailed configuration and data for conversion funnels to identify drop-off points.
- Campaign Insights — Browse tracked advertising campaigns and identify successful growth drivers.
The GrowingIO 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 GrowingIO to Vercel AI SDK via MCP
Follow these steps to integrate the GrowingIO 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 GrowingIO and passes them to the LLM
Why Use Vercel AI SDK with the GrowingIO MCP Server
Vercel AI SDK provides unique advantages when paired with GrowingIO 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 GrowingIO integration everywhere
Built-in streaming UI primitives let you display GrowingIO 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
GrowingIO + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GrowingIO MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GrowingIO in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GrowingIO tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GrowingIO capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GrowingIO through natural language queries
GrowingIO MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect GrowingIO to Vercel AI SDK via MCP:
get_event
Get event details
get_funnel
Get conversion funnel details
get_metrics
Query project metrics
get_project_info
Get project metadata
get_segment_users
Get users in a segment
list_ads
List advertising campaigns
list_events
List project events
list_log_sources
). List data log sources
list_segments
List user segments
list_variables
List tracked variables
Example Prompts for GrowingIO in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GrowingIO immediately.
"List all user segments in GrowingIO."
"Show me the conversion funnel for 'Checkout Flow'."
"Query the DAU for the last 7 days."
Troubleshooting GrowingIO MCP Server with Vercel AI SDK
Common issues when connecting GrowingIO to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGrowingIO + Vercel AI SDK FAQ
Common questions about integrating GrowingIO 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 GrowingIO 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 GrowingIO to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.