Exa MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Answer, Find Similar, Find Similar With Contents, and more
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 App Connector for Vercel AI SDK
The Exa app connector for Vercel AI SDK is a standout in the Ai Frontier category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Exa (formerly Metaphor) to any AI agent and simplify how you discover relevant web data, research topics using neural embeddings, and extract cleaned content through natural conversation.
The Vercel AI SDK gives every Exa tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Neural Search — Perform AI-powered searches that understand the meaning and intent of your query, not just keywords.
- Semantic Similarity — Find web pages and articles that are semantically similar to a specific seed URL.
- Content Extraction — Fetch cleaned, readable text and metadata from multiple URLs or page IDs in a single request.
- Research Automation — Discover high-quality sources and analyze web content programmatically via AI.
- Data Insights — retrieve comprehensive metadata for search results to identify top-performing resources.
- Intelligent Discovery — Use 'Autoprompt' to automatically optimize your queries for neural search accuracy.
The Exa 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.
All 10 Exa tools available for Vercel AI SDK
When Vercel AI SDK connects to Exa through Vinkius, your AI agent gets direct access to every tool listed below — spanning neural-search, semantic-similarity, web-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get an AI answer
Great for competitive analysis and research. Find similar pages
Find similar pages with content
Extract page contents
Returns titles, URLs, and relevance scores for matching pages. Search the web with AI
Useful for site-specific research or documentation lookups. Search within a domain
Traditional keyword search
Ideal for conceptual queries and research topics. Neural semantic search
Ideal for news and trending topics. Search recent content
Search and extract page content
Connect Exa to Vercel AI SDK via MCP
Follow these steps to wire Exa into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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
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.
"Neural search for 'the latest breakthroughs in room-temperature superconductors'."
"Find 5 links similar to 'https://openai.com/blog/instruction-following'."
"Extract the cleaned text content from 'https://arxiv.org/abs/2312.00752'."
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.