FileStack MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Generate Transform Url, Get Image Tags, Get Metadata, and more

Name: FileStack
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FileStack through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The FileStack MCP Server for Vercel AI SDK is a standout in the Image Video category — giving your AI agent 8 tools to work with, ready to go from day one.

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typescript

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 FileStack, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 FileStack MCP Server

Connect your Filestack account to any AI agent to handle complex file workflows, from cloud uploads to advanced AI content analysis, through simple commands.

The Vercel AI SDK gives every FileStack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

Smart Uploads — Upload files directly from any public URL to your Filestack S3 storage using upload_from_url.
AI Intelligence — Automatically extract text from documents (get_ocr), detect objects and features in images (get_image_tags), and check for unsafe content (get_sfw_status).
Image Transformations — Generate optimized CDN URLs for resizing, blurring, or filtering images using generate_transform_url without manual editing.
Video Processing — Initiate and monitor asynchronous video transcoding jobs (start_video_transcode) to convert files into web-ready formats like MP4 or HLS.
Metadata Inspection — Retrieve deep technical details including dimensions, mime types, and file sizes with get_metadata.

The FileStack MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 FileStack tools available for Vercel AI SDK

When Vercel AI SDK connects to FileStack through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-upload, image-processing, ocr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

generate

Generate transform url on FileStack

g., resize=width:400). Does not execute the request, just returns the URL. Generate a Filestack transformation URL

get

Get image tags on FileStack

Detect objects and features in an image

get

Get metadata on FileStack

Get metadata for a Filestack file

get

Get ocr on FileStack

Extract printed or handwritten text (OCR)

get

Get sfw status on FileStack

Detect unsafe content (Safe for Work)

get

Get video status on FileStack

Poll status of a video transcoding job

start

Start video transcode on FileStack

Returns a UUID that must be used to poll for status. Start asynchronous video/audio transcoding

upload

Upload from url on FileStack

Upload a file to Filestack from a public URL

Connect FileStack to Vercel AI SDK via MCP

Follow these steps to wire FileStack into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 8 tools from FileStack and passes them to the LLM

Why Use Vercel AI SDK with the FileStack MCP Server

Vercel AI SDK provides unique advantages when paired with FileStack 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 FileStack integration everywhere

Built-in streaming UI primitives let you display FileStack 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

FileStack + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the FileStack MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query FileStack in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate FileStack tools and return structured JSON responses to any frontend

Chatbots with tool use: embed FileStack capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with FileStack through natural language queries

Example Prompts for FileStack in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FileStack immediately.

"Upload this image to Filestack: https://example.com/photo.jpg"

"What objects are detected in the image with handle ABC123XYZ?"

"Convert the video ABC123XYZ to mp4 format."

Troubleshooting FileStack MCP Server with Vercel AI SDK

Common issues when connecting FileStack to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

FileStack + Vercel AI SDK FAQ

Common questions about integrating FileStack MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.