Sensors Data 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 Sensors Data 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 Sensors Data, 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 Sensors Data MCP Server
Connect your AI agents to Sensors Data (神策数据), the leading professional big data analytics platform. This MCP provides 10 tools to manage event tracking, retrieve user behavioral profiles, and monitor the health of your data pipeline directly through natural conversation.
The Vercel AI SDK gives every Sensors Data 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 — Query and analyze event metadata and properties to understand user interactions in real-time
- User Profiling — Retrieve detailed behavioral profiles and attributes for specific user IDs to power personalized experiences
- Data Health — Monitor ingestion rates and check for data quality issues across your analytics streams
- Project Management — List and inspect project configurations, including project names and token settings
- Export Intelligence — Trigger and monitor data export tasks for further downstream processing or reporting
The Sensors Data 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 Sensors Data to Vercel AI SDK via MCP
Follow these steps to integrate the Sensors Data 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 Sensors Data and passes them to the LLM
Why Use Vercel AI SDK with the Sensors Data MCP Server
Vercel AI SDK provides unique advantages when paired with Sensors Data 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 Sensors Data integration everywhere
Built-in streaming UI primitives let you display Sensors Data 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
Sensors Data + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sensors Data MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sensors Data in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sensors Data tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sensors Data capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sensors Data through natural language queries
Sensors Data MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Sensors Data to Vercel AI SDK via MCP:
analyze_events
Perform complex event analysis
analyze_funnel
Calculate conversion funnel metrics
analyze_retention
Calculate user retention rates
get_event_schema
Retrieve the property schema for a specific event
get_project_info
Retrieve Sensors Data project metadata
get_user_behavior_sequence
Get the chronological sequence of events for a user
list_events
List all defined event names in the schema
list_user_properties
List all defined user profile properties
lookup_user
Get profile information for a specific user
query_behavior_list
Retrieve a list of user behaviors/events
Example Prompts for Sensors Data in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sensors Data immediately.
"Show me the top 5 events by volume in project 'MainApp' for today."
"Get the behavioral attributes for user ID 'user_sensors_777'."
"Is the data ingestion pipeline healthy for project 'AnalyticsBeta'?"
Troubleshooting Sensors Data MCP Server with Vercel AI SDK
Common issues when connecting Sensors Data to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSensors Data + Vercel AI SDK FAQ
Common questions about integrating Sensors Data 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 Sensors Data 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 Sensors Data to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.