Leonardo.ai (Generative AI & Models) MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Leonardo.ai (Generative AI & Models) through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Leonardo.ai (Generative AI & Models) and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"leonardoai-generative-ai-models": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Leonardo.ai (Generative AI & Models) tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Leonardo.ai (Generative AI & Models) MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Leonardo.ai (Generative AI & Models)
Open Cascade and ask: "Using Leonardo.ai (Generative AI & Models), help me..." — 10 tools available
Why Use Windsurf with the Leonardo.ai (Generative AI & Models) MCP Server
Windsurf provides unique advantages when paired with Leonardo.ai (Generative AI & Models) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Leonardo.ai (Generative AI & Models) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Leonardo.ai (Generative AI & Models) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Leonardo.ai (Generative AI & Models) and generate models, types, or handlers based on real API responses
Live debugging: query Leonardo.ai (Generative AI & Models) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Leonardo.ai (Generative AI & Models) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Leonardo.ai (Generative AI & Models) data with Cascade's code generation to scaffold entire features in minutes
Leonardo.ai (Generative AI & Models) MCP Tools for Windsurf (10)
These 10 tools become available when you connect Leonardo.ai (Generative AI & Models) to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Leonardo.ai (Generative AI & Models) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Leonardo.ai (Generative AI & Models) + Windsurf FAQ
Common questions about integrating Leonardo.ai (Generative AI & Models) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Leonardo.ai (Generative AI & Models) 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 Leonardo.ai (Generative AI & Models) to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
