Bing Search 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 Bing Search 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 Bing Search, 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 Bing Search MCP Server
Connect your Microsoft Bing Search API key to any AI agent and empower it with real-time web intelligence and graph data.
The Vercel AI SDK gives every Bing Search tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Web & Local Search — Query the entire web or prioritize local business listings and geographical places.
- Media Extraction — Search specifically for images and videos with native physical metadata tracking.
- News Tracking — Pull real-time syndicated global news and discover macro trending topics instantly.
- Entities & NLP — Resolve famous persons, places, and objects using the Knowledge Graph, and run semantic NLP spellchecks.
- Custom Search — Lock queries to specific whitelisted domains explicitly using custom configurations.
The Bing Search 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 Bing Search to Vercel AI SDK via MCP
Follow these steps to integrate the Bing Search 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 Bing Search and passes them to the LLM
Why Use Vercel AI SDK with the Bing Search MCP Server
Vercel AI SDK provides unique advantages when paired with Bing Search 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 Bing Search integration everywhere
Built-in streaming UI primitives let you display Bing Search 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
Bing Search + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bing Search MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bing Search in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bing Search tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bing Search capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bing Search through natural language queries
Bing Search MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bing Search to Vercel AI SDK via MCP:
autosuggest
0/Suggestions` matching high-velocity partial queries directly against ML autosuggest logs. Fetch automated real-time query completion suggestions
custom_search
0/custom/search` restricting queries strictly into pre-built whitelist domains. Perform search locked explicitly to a predefined Configuration ID
search_entities
0/entities` bounding rich structured data resolving Famous Persons, Places, or Objects. Retrieve deeply structured Entity graphs (Knowledge Graph mappings)
search_images
0/images/search` filtering explicit image thumbnails parsing pixel dimensions natively. Search for explicit Image results matching a keyword string
search_local
Force explicit Local Business listing extraction over standard web nodes
search_news
0/news/search` resolving syndicated global PR articles grouped by timestamp clusters. Query explicitly syndicated News articles across global PR sources
search_videos
0/videos/search` tracking streaming bounds capturing native motion array metadata. Retrieve explicitly indexed Video stream links and metadata
search_web
0/search` scraping up to 50 organic results mapped directly from the Microsoft Graph. Perform an explicit Web search using the Microsoft Bing Graph
spellcheck
0/spellcheck` correcting string tokens natively via semantic NLP boundaries. Execute explicit semantic NLP spell checking on short strings
trending_news
0/news/trendingtopics` surfing fully decoupled virality indexes completely ignoring keywords. Discover explicit macroscopic viral Trending News topics
Example Prompts for Bing Search in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bing Search immediately.
"Search the web for the latest advancements in solid-state batteries."
"Show me the trending global news right now."
"Find images of modern minimalist architecture."
Troubleshooting Bing Search MCP Server with Vercel AI SDK
Common issues when connecting Bing Search to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBing Search + Vercel AI SDK FAQ
Common questions about integrating Bing Search 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 Bing Search 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 Bing Search to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.