Tencent Yuanqi MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tencent Yuanqi through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Tencent Yuanqi, 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 Tencent Yuanqi MCP Server
Connect your AI agents to Tencent Yuanqi (腾讯元器), the official intelligent agent platform powered by the Hunyuan large model. This MCP provides 9 tools for comprehensive agent management and high-performance RAG operations.
The Vercel AI SDK gives every Tencent Yuanqi tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Agent Interaction — Chat with published agents using persistent sessions and context tracking
- Document Lifecycle — Upload, list, and delete documents for agent knowledge bases with real-time status tracking
- Assistant Profiling — Retrieve metadata and configuration for any assistant in your workspace
- Usage Analysis — Monitor token consumption and remaining quota programmatically
The Tencent Yuanqi MCP Server exposes 9 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 Tencent Yuanqi to Vercel AI SDK via MCP
Follow these steps to integrate the Tencent Yuanqi 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 9 tools from Tencent Yuanqi and passes them to the LLM
Why Use Vercel AI SDK with the Tencent Yuanqi MCP Server
Vercel AI SDK provides unique advantages when paired with Tencent Yuanqi 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 Tencent Yuanqi integration everywhere
Built-in streaming UI primitives let you display Tencent Yuanqi 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
Tencent Yuanqi + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tencent Yuanqi MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tencent Yuanqi in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tencent Yuanqi tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tencent Yuanqi capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tencent Yuanqi through natural language queries
Tencent Yuanqi MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Tencent Yuanqi to Vercel AI SDK via MCP:
chat
Requires assistant_id and user_id. Chat with a Tencent Yuanqi assistant
delete_file
Delete an uploaded file
get_assistant_info
Get details about a specific assistant
get_file_info
Get metadata for a specific file
get_file_status
Check file processing status
get_usage
Check API usage and quota
list_assistants
List your own assistants
list_files
List uploaded files
upload_file
) to the Yuanqi platform for use in assistant knowledge bases. Upload a document for assistant context
Example Prompts for Tencent Yuanqi in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tencent Yuanqi immediately.
"Chat with assistant 'assistant_123' and ask 'Explain the concept of deep learning'."
"Upload the file 'specs.pdf' to my Yuanqi account."
"List all assistants in my account."
Troubleshooting Tencent Yuanqi MCP Server with Vercel AI SDK
Common issues when connecting Tencent Yuanqi to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTencent Yuanqi + Vercel AI SDK FAQ
Common questions about integrating Tencent Yuanqi 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 Tencent Yuanqi 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 Tencent Yuanqi to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.