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 LlamaIndex 10 tools — connect in under 2 minutes

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

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Leonardo.ai (Generative AI & Models) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Leonardo.ai (Generative AI & Models). "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(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 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.

LlamaIndex agents combine Leonardo.ai (Generative AI & Models) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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)

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

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

Data-first architecture: LlamaIndex agents combine Leonardo.ai (Generative AI & Models) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Leonardo.ai (Generative AI & Models) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Leonardo.ai (Generative AI & Models), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Leonardo.ai (Generative AI & Models) tools were called, what data was returned, and how it influenced the final answer

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

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

Hybrid search: combine Leonardo.ai (Generative AI & Models) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Leonardo.ai (Generative AI & Models) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Leonardo.ai (Generative AI & Models) for fresh data

Analytical workflows: chain Leonardo.ai (Generative AI & Models) queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Leonardo.ai (Generative AI & Models) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.