Leonardo.ai (Generative AI & Models) MCP Server for Cline 10 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Leonardo.ai (Generative AI & Models) through the Vinkius and Cline gains direct access to every tool — from data retrieval to workflow automation — without leaving the terminal.
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.
Cline operates autonomously inside VS Code — it reads your codebase, plans a strategy, and executes multi-step tasks including Leonardo.ai (Generative AI & Models) tool calls without waiting for prompts between steps. Connect 10 tools through the Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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 Cline 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 Cline via MCP
Follow these steps to integrate the Leonardo.ai (Generative AI & Models) MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Leonardo.ai (Generative AI & Models)
Ask Cline: "Using Leonardo.ai (Generative AI & Models), help me..." — 10 tools available
Why Use Cline with the Leonardo.ai (Generative AI & Models) MCP Server
Cline provides unique advantages when paired with Leonardo.ai (Generative AI & Models) through the Model Context Protocol.
Cline operates autonomously — it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Leonardo.ai (Generative AI & Models) + Cline Use Cases
Practical scenarios where Cline combined with the Leonardo.ai (Generative AI & Models) MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Leonardo.ai (Generative AI & Models) and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Leonardo.ai (Generative AI & Models) tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Leonardo.ai (Generative AI & Models) and generates snapshot tests or mocks based on actual payloads
Incident response: query Leonardo.ai (Generative AI & Models) for real-time status and let Cline generate hotfix patches based on the findings
Leonardo.ai (Generative AI & Models) MCP Tools for Cline (10)
These 10 tools become available when you connect Leonardo.ai (Generative AI & Models) to Cline 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 Cline
Ready-to-use prompts you can give your Cline 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 Cline
Common issues when connecting Leonardo.ai (Generative AI & Models) to Cline through the Vinkius, and how to resolve them.
Server shows error in sidebar
Leonardo.ai (Generative AI & Models) + Cline FAQ
Common questions about integrating Leonardo.ai (Generative AI & Models) MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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 Cline
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
