SenseCore Platform 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 SenseCore Platform through the 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 SenseCore Platform, 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 SenseCore Platform MCP Server
Connect your AI agents to the SenseCore Platform, the industrial-grade AI infrastructure by SenseTime. This MCP provides 10 tools to manage advanced foundation models, orchestrate large-scale chat completions, and monitor high-performance compute resources programmatically.
The Vercel AI SDK gives every SenseCore Platform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through the 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
- SenseChat Interaction — Trigger chat completions with SenseTime's foundation models using persistent context and history
- Model Intelligence — List all available foundation models and retrieve granular technical specifications for each version
- Resource Management — Monitor compute node availability and track quota consumption across your organizational projects
- Service Monitoring — Check real-time health and latency metrics for deployed model services
- Async Operations — List and track the status of long-running training or inference tasks on the SenseCore infrastructure
The SenseCore Platform 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 SenseCore Platform to Vercel AI SDK via MCP
Follow these steps to integrate the SenseCore Platform 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 SenseCore Platform and passes them to the LLM
Why Use Vercel AI SDK with the SenseCore Platform MCP Server
Vercel AI SDK provides unique advantages when paired with SenseCore Platform 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 SenseCore Platform integration everywhere
Built-in streaming UI primitives let you display SenseCore Platform 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
SenseCore Platform + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SenseCore Platform MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SenseCore Platform in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SenseCore Platform tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SenseCore Platform capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SenseCore Platform through natural language queries
SenseCore Platform MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect SenseCore Platform to Vercel AI SDK via MCP:
chat_completions
Send a message to a SenseCore large language model
create_assistant
Define a new AI assistant
create_message
Add a message to a thread
create_run
Execute an assistant on a thread
create_thread
Initialize a new conversation thread
get_assistant_details
Get complete configuration for an assistant
get_run_status
Check the status of an active assistant run
list_assistants
List all configured assistants
list_files
List uploaded files
list_messages
Retrieve the message history of a thread
list_models
List all available SenseNova models
Example Prompts for SenseCore Platform in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SenseCore Platform immediately.
"Chat with SenseChat-5 and ask 'Compare the features of traditional neural networks and transformers'."
"List all active models in project 'Research_AI_2024'."
"What is the health status of service ID 'svc_gpu_999'?"
Troubleshooting SenseCore Platform MCP Server with Vercel AI SDK
Common issues when connecting SenseCore Platform to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSenseCore Platform + Vercel AI SDK FAQ
Common questions about integrating SenseCore Platform 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 SenseCore Platform 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 SenseCore Platform to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.