Uploadcare MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Uploadcare 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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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 Uploadcare, 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 Uploadcare MCP Server
Connect your Uploadcare account to any AI agent to fully manage your file handling and CDN media infrastructure via natural conversation.
The Vercel AI SDK gives every Uploadcare 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
- File Management — List uploaded assets, retrieve specific file technical metadata (like dimensions and CDN URLs), and manage permanent storage states.
- Bulk Operations — Efficiently batch store or batch delete multiple temporary or permanent files in a single operation.
- File Transport — Copy existing files manually to local or remote storage targets, directly through your AI agent.
- Groups & Collections — List immutable file collections (groups) and inspect which individual files are contained within them.
- Project Analytics — Retrieve your Uploadcare project-level metadata, checking your current account storage and bandwidth consumption in real time.
The Uploadcare 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.
How to Connect Uploadcare to Vercel AI SDK via MCP
Follow these steps to integrate the Uploadcare 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 10 tools from Uploadcare and passes them to the LLM
Why Use Vercel AI SDK with the Uploadcare MCP Server
Vercel AI SDK provides unique advantages when paired with Uploadcare 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 Uploadcare integration everywhere
Built-in streaming UI primitives let you display Uploadcare 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
Uploadcare + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Uploadcare MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Uploadcare in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Uploadcare tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Uploadcare capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Uploadcare through natural language queries
Uploadcare MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Uploadcare to Vercel AI SDK via MCP:
batch_delete_files
This action is irreversible. Permanently removes multiple files in a single operation
batch_store_files
Marks multiple temporary files as permanently stored
copy_file
g. S3). Copies an existing file to local or remote storage
delete_file
This action is irreversible. Permanently removes a file and its variants from Uploadcare
get_file_details
Retrieves technical metadata for a specific Uploadcare file
get_group_details
Retrieves information about a specific file group
get_project_info
Retrieves project-level metadata and usage statistics
list_file_groups
Lists immutable file collections (groups) in the project
list_files
Supports pagination via limit. Lists files stored in your Uploadcare project
store_file
Marks a temporary file as permanently stored
Example Prompts for Uploadcare in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Uploadcare immediately.
"What is our current project storage and bandwidth usage?"
"Can you check the dimensions and CDN URL for file UUID `9cd83...`?"
"Batch delete these 4 outdated temporary images: `e33b...`, `f55a...`, `8c11...`, `ab99...`."
Troubleshooting Uploadcare MCP Server with Vercel AI SDK
Common issues when connecting Uploadcare to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUploadcare + Vercel AI SDK FAQ
Common questions about integrating Uploadcare 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 Uploadcare 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 Uploadcare to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.