Egnyte MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Folder, Create Shared Link, Delete Item, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Egnyte 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 Egnyte app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 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 Egnyte, 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 Egnyte MCP Server
Connect your Egnyte enterprise account to any AI agent and take full control of your corporate file sync and share (EFSS) workflows through natural conversation.
The Vercel AI SDK gives every Egnyte tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Content Orchestration — List and manage files and folders programmatically, including creating new directories and retrieving detailed metadata
- Secure Sharing — Programmatically generate shared links with customizable accessibility (public, password, domain) directly from your agent
- Deep Semantic Search — Find relevant files and folders across your entire domain using advanced text queries and filters
- User & Group Visibility — Retrieve complete directories of users and groups to coordinate permissions and team collaboration
- Compliance Monitoring — Access security audit logs and monitor active webhooks to maintain high-fidelity oversight of your corporate data
The Egnyte MCP Server exposes 12 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 12 Egnyte tools available for Vercel AI SDK
When Vercel AI SDK connects to Egnyte through Vinkius, your AI agent gets direct access to every tool listed below — spanning egnyte, cloud-storage, file-sync, 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.
Create a new folder
Generate share link
Delete file or folder
Get domain info
List audit events
Get file details
List folder contents
List user groups
List all shared links
List Egnyte users
List active webhooks
Search for files
Connect Egnyte to Vercel AI SDK via MCP
Follow these steps to wire Egnyte 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 Egnyte MCP Server
Vercel AI SDK provides unique advantages when paired with Egnyte 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 Egnyte integration everywhere
Built-in streaming UI primitives let you display Egnyte 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
Egnyte + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Egnyte MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Egnyte in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Egnyte tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Egnyte capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Egnyte through natural language queries
Example Prompts for Egnyte in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Egnyte immediately.
"List all files in the folder '/Shared/Projects/MCP'."
"Search for documents containing '2026 marketing budget'."
"Show me the last 5 security audit logs."
Troubleshooting Egnyte MCP Server with Vercel AI SDK
Common issues when connecting Egnyte to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEgnyte + Vercel AI SDK FAQ
Common questions about integrating Egnyte 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.