Zoho WorkDrive MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Folder, Create Share Link, Delete File, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zoho WorkDrive 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 Zoho WorkDrive app connector for Vercel AI SDK is a standout in the Industry Titans 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 Zoho WorkDrive, 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 Zoho WorkDrive MCP Server
Integrate your Zoho WorkDrive cloud storage into your AI workflows to streamline file management and team collaboration through natural conversation.
The Vercel AI SDK gives every Zoho WorkDrive 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
- File & Folder Operations — List, rename, and delete files or folders across your storage with simple commands.
- Team Collaboration — Access team folders (workspaces) and manage user permissions programmatically.
- External Sharing — Generate and track external share links for secure file distribution to clients or partners.
- User Insights — Retrieve profile details and monitor recently accessed or modified files to stay on top of team activity.
The Zoho WorkDrive 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 Zoho WorkDrive tools available for Vercel AI SDK
When Vercel AI SDK connects to Zoho WorkDrive through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-management, team-folders, cloud-storage, 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
Create a new share link
Delete a file or folder
Get file or folder metadata
Get current user profile
List file permissions
List files and folders
List recently accessed files
List external share links
List team folders (workspaces)
List all teams
Rename a file or folder
Connect Zoho WorkDrive to Vercel AI SDK via MCP
Follow these steps to wire Zoho WorkDrive 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 Zoho WorkDrive MCP Server
Vercel AI SDK provides unique advantages when paired with Zoho WorkDrive 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 Zoho WorkDrive integration everywhere
Built-in streaming UI primitives let you display Zoho WorkDrive 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
Zoho WorkDrive + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zoho WorkDrive MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zoho WorkDrive in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zoho WorkDrive tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zoho WorkDrive capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zoho WorkDrive through natural language queries
Example Prompts for Zoho WorkDrive in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zoho WorkDrive immediately.
"Create a new folder named 'Q4 Marketing Assets' inside the root directory and list the contents to confirm it was created."
"Generate a new external share link for the 'Client Proposal v2.pdf' file so I can send it to the external vendor."
"Show me the workspaces for the 'Engineering Team' and check who has access permissions to the 'Architecture Specs' folder."
Troubleshooting Zoho WorkDrive MCP Server with Vercel AI SDK
Common issues when connecting Zoho WorkDrive to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZoho WorkDrive + Vercel AI SDK FAQ
Common questions about integrating Zoho WorkDrive 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.