TalkingData 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 TalkingData 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 TalkingData, 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 TalkingData MCP Server
Empower your AI agent to orchestrate your product intelligence and user behavioral data with TalkingData, the premier big data platform in China. By connecting TalkingData to your agent, you transform complex event tracking auditing, user growth analysis, and multi-channel attribution into a natural conversation. Your agent can instantly retrieve high-level application summaries, monitor active user trends, audit custom event data, and even provide detailed hardware device statistics without you ever needing to navigate the comprehensive TalkingData portal. Whether you are conducting a product health audit or monitoring real-time campaign performance across different channels, your agent acts as a real-time data analyst assistant, keeping your metrics accurate and your growth moving.
The Vercel AI SDK gives every TalkingData 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
- Metrics Orchestration — Retrieve real-time active user, new registration, and retention statistics for your application.
- Event Auditing — Browse tracked custom events and retrieve detailed analytical data for specific behavioral triggers.
- Channel Monitoring — Analyze user acquisition and performance across different marketing and distribution channels.
- Hardware Insights — Access detailed breakdowns of user devices, including model, OS, and hardware specifications.
- Session Analysis — Retrieve average session duration and usage frequency to monitor product engagement levels.
The TalkingData 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 TalkingData to Vercel AI SDK via MCP
Follow these steps to integrate the TalkingData 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 TalkingData and passes them to the LLM
Why Use Vercel AI SDK with the TalkingData MCP Server
Vercel AI SDK provides unique advantages when paired with TalkingData 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 TalkingData integration everywhere
Built-in streaming UI primitives let you display TalkingData 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
TalkingData + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TalkingData MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TalkingData in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TalkingData tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TalkingData capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TalkingData through natural language queries
TalkingData MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect TalkingData to Vercel AI SDK via MCP:
get_active_users
Get active user statistics
get_app_info
Get application configuration info
get_app_summary
Get application performance summary
get_channel_data
Get acquisition channel data
get_device_stats
Get device hardware statistics
get_event_data
Get custom event analytics
get_new_users
Get new user registrations
get_session_stats
Get session usage statistics
get_user_retention
Get user retention data
list_events
List tracked events
Example Prompts for TalkingData in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TalkingData immediately.
"Show me the application performance summary."
"What is the active user count for today?"
"List all tracked events in the app."
Troubleshooting TalkingData MCP Server with Vercel AI SDK
Common issues when connecting TalkingData to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTalkingData + Vercel AI SDK FAQ
Common questions about integrating TalkingData 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 TalkingData 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 TalkingData to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.