ThinkingData / 数数科技 MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ThinkingData / 数数科技 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 ThinkingData / 数数科技, 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 ThinkingData / 数数科技 MCP Server
Empower your AI agent to orchestrate your data analytics and player insights with ThinkingData (数数科技), the premier analytics platform for the global gaming industry. By connecting ThinkingData to your agent, you transform complex event querying, user profile auditing, and cohort management into a natural conversation. Your agent can instantly retrieve project metadata, list defined events and their schemas, execute complex behavioral queries, and even ingest custom events without you ever needing to navigate the comprehensive TA Dashboard. Whether you are conducting a player retention audit or coordinating a live-ops event refresh, your agent acts as a real-time data coordinator, providing accurate results from a single, authorized source.
The Vercel AI SDK gives every ThinkingData / 数数科技 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Project Orchestration — Retrieve project summaries, list defined events, and discover property schemas.
- Behavioral Auditing — Execute complex queries on event data to understand player behavior and conversion funnels.
- User Management — Query user profile data and update properties for specific distinct IDs.
- Data Ingestion — Track custom events and set user properties directly through the agent for rapid testing.
- Operational Insights — List defined user cohorts, saved reports, and monitor API connectivity status.
The ThinkingData / 数数科技 MCP Server exposes 8 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 ThinkingData / 数数科技 to Vercel AI SDK via MCP
Follow these steps to integrate the ThinkingData / 数数科技 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 8 tools from ThinkingData / 数数科技 and passes them to the LLM
Why Use Vercel AI SDK with the ThinkingData / 数数科技 MCP Server
Vercel AI SDK provides unique advantages when paired with ThinkingData / 数数科技 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 ThinkingData / 数数科技 integration everywhere
Built-in streaming UI primitives let you display ThinkingData / 数数科技 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
ThinkingData / 数数科技 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ThinkingData / 数数科技 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ThinkingData / 数数科技 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ThinkingData / 数数科技 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ThinkingData / 数数科技 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ThinkingData / 数数科技 through natural language queries
ThinkingData / 数数科技 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect ThinkingData / 数数科技 to Vercel AI SDK via MCP:
get_event_properties
Get properties for event
get_project_summary
Get project overview
list_defined_events
List project events
list_project_cohorts
List user cohorts
query_events
Execute event query
query_users
Execute user query
set_user_properties
Update user profile
track_custom_event
Track a single event
Example Prompts for ThinkingData / 数数科技 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ThinkingData / 数数科技 immediately.
"Show me a summary of our ThinkingData project configuration."
"List all defined events in ThinkingData."
"Check the profile for user 'USER_88210934'."
Troubleshooting ThinkingData / 数数科技 MCP Server with Vercel AI SDK
Common issues when connecting ThinkingData / 数数科技 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpThinkingData / 数数科技 + Vercel AI SDK FAQ
Common questions about integrating ThinkingData / 数数科技 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 ThinkingData / 数数科技 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 ThinkingData / 数数科技 to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.