Baidu Qianfan MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Baidu Qianfan 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 Baidu Qianfan, 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 Baidu Qianfan MCP Server
Connect your AI agents to Baidu Qianfan (百度千帆), the enterprise-grade LLM platform. This MCP provides 10 tools to automate interactions with Ernie Bot and other foundation models, including chat completions, vector embeddings, and prompt engineering.
The Vercel AI SDK gives every Baidu Qianfan tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Model Interaction — Trigger chat completions with Ernie Bot (Turbo/Speed/4.0) using persistent context
- Vector Embeddings — Generate semantic embeddings for text to power RAG and search workflows
- Prompt Engineering — Manage and retrieve centralized prompt templates for consistent model outputs
- Image Generation — Trigger Text-to-Image tasks using Baidu's advanced diffusion models
- Usage Monitoring — Track token consumption and manage model service status programmatically
The Baidu Qianfan MCP Server exposes 6 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 Baidu Qianfan to Vercel AI SDK via MCP
Follow these steps to integrate the Baidu Qianfan 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 6 tools from Baidu Qianfan and passes them to the LLM
Why Use Vercel AI SDK with the Baidu Qianfan MCP Server
Vercel AI SDK provides unique advantages when paired with Baidu Qianfan 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 Baidu Qianfan integration everywhere
Built-in streaming UI primitives let you display Baidu Qianfan 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
Baidu Qianfan + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Baidu Qianfan MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Baidu Qianfan in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Baidu Qianfan tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Baidu Qianfan capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Baidu Qianfan through natural language queries
Baidu Qianfan MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Baidu Qianfan to Vercel AI SDK via MCP:
chat_completions
Requires model endpoint name. Send a message to a Baidu Qianfan model
get_embeddings
Generate vector embeddings for text
list_datasets
List uploaded datasets
list_models
List available model services
list_train_jobs
List model training jobs
text_to_image
Generate an image from a text prompt
Example Prompts for Baidu Qianfan in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Baidu Qianfan immediately.
"Chat with Ernie Bot 4.0 and ask 'Write a formal apology letter for a late shipment'."
"Generate embeddings for the text 'The quick brown fox jumps over the lazy dog'."
"List all my prompt templates in Qianfan."
Troubleshooting Baidu Qianfan MCP Server with Vercel AI SDK
Common issues when connecting Baidu Qianfan to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBaidu Qianfan + Vercel AI SDK FAQ
Common questions about integrating Baidu Qianfan 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 Baidu Qianfan 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 Baidu Qianfan to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.