Exa MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Exa 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, 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 MCP Server
Connect your AI agent to Exa — the semantic search engine built from the ground up for AI applications.
The Vercel AI SDK gives every Exa tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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 Search — Search the web using natural language. Unlike Google, Exa understands concepts and meaning, returning results that are semantically relevant even without exact keyword matches
- Find Similar — Provide any URL and discover web pages with similar content. Perfect for competitive analysis, research expansion, and content discovery
- Extract Contents — Get clean text, highlights, and summaries from any list of URLs. Ideal for building knowledge bases from curated sources
The Exa MCP Server exposes 3 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 to Vercel AI SDK via MCP
Follow these steps to integrate the Exa 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 3 tools from Exa and passes them to the LLM
Why Use Vercel AI SDK with the Exa MCP Server
Vercel AI SDK provides unique advantages when paired with Exa 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 integration everywhere
Built-in streaming UI primitives let you display Exa 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 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Exa MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Exa in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Exa tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Exa capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Exa through natural language queries
Exa MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect Exa to Vercel AI SDK via MCP:
exa_find_similar
Useful for finding competitors, related articles, or alternative sources on the same subject. Find web pages semantically similar to a given URL. Perfect for competitive analysis and content discovery
exa_get_contents
Useful when you already know which pages you want to read and need their content in a structured format. Extract clean text content from specific URLs. Provide comma-separated URLs to retrieve their content
exa_search
Returns page text, highlights, and relevance scores. Supports search types: auto (default), instant (fastest), fast, deep (most thorough). Search the web using Exa semantic search engine. Finds conceptually relevant results, not just keyword matches
Example Prompts for Exa in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Exa immediately.
"Search for companies building memory infrastructure for AI agents."
"Find pages similar to https://docs.langchain.com/docs/get_started/introduction"
"Extract the content from these 3 URLs: https://arxiv.org/abs/2401.00001, https://openai.com/blog, https://anthropic.com/research"
Troubleshooting Exa MCP Server with Vercel AI SDK
Common issues when connecting Exa to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpExa + Vercel AI SDK FAQ
Common questions about integrating Exa 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 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 to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.