Leonardo.ai (Generative AI & Models) 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 Leonardo.ai (Generative AI & Models) through the 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 Leonardo.ai (Generative AI & Models), 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 Leonardo.ai (Generative AI & Models) MCP Server
Connect your Leonardo.ai account to any AI agent and take full control of state-of-the-art generative image production and custom AI models through natural conversation.
The Vercel AI SDK gives every Leonardo.ai (Generative AI & Models) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Generation Orchestration — Initiate asynchronous image generation requests defining precise prompts, model UUIDs, and dimensions directly from your agent
- Model Discovery — Enumerate global platform models (Phoenix, Kino XL) and your fine-tuned custom models to understand available inference capabilities
- Image-to-Image — Acquire secure presigned URLs to upload initial images for guided AI generation and reference-based transformations
- Precision Variations — Create unzoom context extensions and visual variations expanding previously generated images while maintaining structural consistency
- Inventory Audit — List recent user generations and retrieve absolute image URLs, prompts used, and exact hardware metadata securely
- User Metrics — Monitor active account metrics and token usage allocations to manage your generation budget and operational costs in real-time
The Leonardo.ai (Generative AI & Models) 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 Leonardo.ai (Generative AI & Models) to Vercel AI SDK via MCP
Follow these steps to integrate the Leonardo.ai (Generative AI & Models) 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 Leonardo.ai (Generative AI & Models) and passes them to the LLM
Why Use Vercel AI SDK with the Leonardo.ai (Generative AI & Models) MCP Server
Vercel AI SDK provides unique advantages when paired with Leonardo.ai (Generative AI & Models) 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 Leonardo.ai (Generative AI & Models) integration everywhere
Built-in streaming UI primitives let you display Leonardo.ai (Generative AI & Models) 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
Leonardo.ai (Generative AI & Models) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Leonardo.ai (Generative AI & Models) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Leonardo.ai (Generative AI & Models) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Leonardo.ai (Generative AI & Models) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Leonardo.ai (Generative AI & Models) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Leonardo.ai (Generative AI & Models) through natural language queries
Leonardo.ai (Generative AI & Models) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Leonardo.ai (Generative AI & Models) to Vercel AI SDK via MCP:
create_variation
Create an unzoom context extension expanding a Leonardo.ai generated image
delete_generation
Delete a Leonardo generation history log and its image array explicitly
generate_image
Returns a Generation ID used to poll for the output. Generate images from a text prompt using Leonardo.ai
get_generation
Get the active status or completed result of a generation
get_model
Get specific details and parameters of a Leonardo.ai model
get_user
Get active authenticated Leonardo AI user metrics
list_custom_models
List fine-tuned and custom-trained models available explicitly on your Leonardo instance
list_platform_models
List all global public platform models hosted on Leonardo.ai
list_user_generations
List recent image generations initiated by a specific Leonardo user
upload_init_image
Acquire a secure presigned URL tracking for image-to-image inference datasets
Example Prompts for Leonardo.ai (Generative AI & Models) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Leonardo.ai (Generative AI & Models) immediately.
"Generate a futuristic cityscape at sunset using the Phoenix model"
"List my last 3 image generations"
"Check my current token balance and account limits"
Troubleshooting Leonardo.ai (Generative AI & Models) MCP Server with Vercel AI SDK
Common issues when connecting Leonardo.ai (Generative AI & Models) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLeonardo.ai (Generative AI & Models) + Vercel AI SDK FAQ
Common questions about integrating Leonardo.ai (Generative AI & Models) 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 Leonardo.ai (Generative AI & Models) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Leonardo.ai (Generative AI & Models) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.