Can I check the progress of my image generation through my agent?

Yes. Use the `get_generation_status` tool with the Generation ID provided when you started the request. Your agent will poll the Leonardo API and return the final image URLs and metadata once the process is complete.

How do I find which AI models are available for generation?

Ask your agent to `list_platform_models` or `list_custom_models`. It will return a list of available UUIDs and model names (like Phoenix or Kino XL), which are required when triggering a new image generation request.

Can my agent perform image-to-image transformations?

Absolutely. Use the `upload_init_image` tool to acquire a secure presigned URL for your source image. Once uploaded, you can command your agent to trigger a generation that uses that image as a reference for guided AI transformations.

Leonardo.ai (Generative AI & Models) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Leonardo.ai (Generative AI & Models)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Leonardo.ai (Generative AI & Models) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Leonardo.ai (Generative AI & Models) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Leonardo.ai (Generative AI & Models)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Leonardo.ai (Generative AI & Models) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Leonardo.ai (Generative AI & Models) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Leonardo.ai (Generative AI & Models) with type-safe schemas

Why Use Pydantic AI with the Leonardo.ai (Generative AI & Models) MCP Server

Pydantic AI provides unique advantages when paired with Leonardo.ai (Generative AI & Models) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Leonardo.ai (Generative AI & Models) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Leonardo.ai (Generative AI & Models) connection logic from agent behavior for testable, maintainable code

Leonardo.ai (Generative AI & Models) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Leonardo.ai (Generative AI & Models) MCP Server delivers measurable value.

Type-safe data pipelines: query Leonardo.ai (Generative AI & Models) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Leonardo.ai (Generative AI & Models) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Leonardo.ai (Generative AI & Models) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Leonardo.ai (Generative AI & Models) responses and write comprehensive agent tests

Leonardo.ai (Generative AI & Models) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Leonardo.ai (Generative AI & Models) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Leonardo.ai (Generative AI & Models) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Leonardo.ai (Generative AI & Models) + Pydantic AI FAQ

Common questions about integrating Leonardo.ai (Generative AI & Models) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Leonardo.ai (Generative AI & Models) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.