Exa AI 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 Exa AI 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 Exa AI, 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 Exa AI MCP Server
Empower your AI agent to orchestrate your entire web discovery and semantic search workflow with Exa AI, the search engine built for the future of AI. By connecting Exa to your agent, you transform complex information gathering into a natural conversation. Your agent can instantly search the web using semantic embeddings, audit similar websites through URL matching, and retrieve cleaned page content without you ever touching a browser. Whether you are conducting deep market research or monitoring niche industry trends, your agent acts as a real-time web analyst, ensuring your intelligence is always grounded in contextually relevant data.
The Vercel AI SDK gives every Exa AI 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
- Semantic Auditing — Query the web using natural language and retrieve results based on meaning rather than just keywords.
- Similar Discovery — Find websites similar to any provided URL to identify competitors or related sources instantly.
- Content Oversight — Retrieve cleaned HTML or text content for any search result to maintain a structured view of web data.
- Usage Intelligence — Monitor your API usage and crawl statistics to maintain strict control over your research budget.
- Unified Search — Perform search and content retrieval in a single request to optimize agent response times.
The Exa AI 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 Exa AI to Vercel AI SDK via MCP
Follow these steps to integrate the Exa AI 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 Exa AI and passes them to the LLM
Why Use Vercel AI SDK with the Exa AI MCP Server
Vercel AI SDK provides unique advantages when paired with Exa AI 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 Exa AI integration everywhere
Built-in streaming UI primitives let you display Exa AI 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
Exa AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Exa AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Exa AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Exa AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Exa AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Exa AI through natural language queries
Exa AI MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Exa AI to Vercel AI SDK via MCP:
find_similar
Find websites similar to a given URL
get_api_usage
Get current API usage and crawl statistics
get_contents
Get cleaned HTML/text content for specific Exa IDs
get_search_links
Get just the top links for a search query
search_web
Search the web semantically using Exa
search_with_contents
Search and retrieve contents in one request
Example Prompts for Exa AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Exa AI immediately.
"Find 5 high-quality research papers about 'Climate Change mitigation' using Exa."
"Find sites similar to https://techcrunch.com."
"Search for 'future of AI robotics' and give me the full content of the best result."
Troubleshooting Exa AI MCP Server with Vercel AI SDK
Common issues when connecting Exa AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpExa AI + Vercel AI SDK FAQ
Common questions about integrating Exa AI 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 Exa AI 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 Exa AI to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.