Claid AI MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Claid AI 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 Claid AI, 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 Claid AI MCP Server
Connect your Claid AI account to any AI agent and take full control of your image enhancement workflows through natural conversation. Transform basic product shots into professional photography instantly.
The Vercel AI SDK gives every Claid AI 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
- AI Enhancement — Apply multiple enhancements like HDR adjustment, white balance, and polishing natively
- Resolution Upscaling — Increase image dimensions using specialized AI models for photos and digital art flawlessly
- Background Logistics — Remove or replace backgrounds with white or custom scenes securely
- Task Oversight — Monitor the status of async processing tasks and retrieve results flawlessly
- Canvas Control — Resize images to specific dimensions with intelligent fit/fill logic flawlessly
- Account Visibility — Retrieve core account information and monitor your AI usage quotas directly within your workspace
The Claid AI MCP Server exposes 8 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 Claid AI to Vercel AI SDK via MCP
Follow these steps to integrate the Claid AI 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 8 tools from Claid AI and passes them to the LLM
Why Use Vercel AI SDK with the Claid AI MCP Server
Vercel AI SDK provides unique advantages when paired with Claid AI 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 Claid AI integration everywhere
Built-in streaming UI primitives let you display Claid AI 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
Claid AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Claid AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Claid AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Claid AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Claid AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Claid AI through natural language queries
Claid AI MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Claid AI to Vercel AI SDK via MCP:
enhance_image
You can combine multiple operations like upscale, background removal, and HDR adjustment. Apply AI enhancements and edits to an image
get_claid_account_info
Retrieve core account and quota information
get_processing_task_details
Get the status and result of an async image processing task
list_available_ai_operations
List common AI operations supported by the Claid API
list_claid_collections
List image collections in your account
list_claid_webhooks
List configured webhooks for async notifications
remove_image_background
Quickly remove or replace the background of an image
upscale_image_resolution
Increase image resolution using AI models
Example Prompts for Claid AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Claid AI immediately.
"Upscale this product photo to high resolution: https://example.com/shoe.jpg"
"Remove the background from this image: https://example.com/model.jpg"
"What is the status of processing task 'task_98765'?"
Troubleshooting Claid AI MCP Server with Vercel AI SDK
Common issues when connecting Claid AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClaid AI + Vercel AI SDK FAQ
Common questions about integrating Claid AI 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 Claid AI 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 Claid AI to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.