Leonardo.ai (Generative AI & Models) Connector for AI agents.
10 live capabilities
Generate high-fidelity visual assets and manage custom models through natural conversation.
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Why people use Leonardo.ai (Generative AI & Models)
Leonardo.ai for High-Fidelity Image Production
With this Connector, that whole loop lives in your chat. You tell your agent what you need, and it handles the parameters, triggers the generation, and grabs the final links. You get a production-ready workflow where the AI does the clicking and you do the directing.
What Vinkius changes
You get a direct pipeline to professional image generation without ever leaving your primary workspace.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Expanding a concept
An artist has a portrait but needs more background.
- Real-world use case 02
Batch brand assets
A marketer needs 20 different product shots.
- Real-world use case 03
Auditing team spend
A director wants to see how many tokens the team used this week.
Complete set · 10capabilities
The complete Leonardo.ai (Generative AI & Models) capability set.
These are the exact actions your AI can choose when you ask it to work with Leonardo.ai (Generative AI & Models).
01—04
4 capabilities in this set.
Part of 10 available through Leonardo.ai (Generative AI & Models).
- 01 Capability
Upload init image
Get a secure URL to upload a reference image for image-to-image tasks.
- 02 Capability
Generate image
Start a new image generation based on a text prompt and specific settings.
- 03 Capability
Get generation
Check if a specific image request is finished or still processing.
- 04 Capability
List user generations
See a list of your most recent image generations.
05—07
3 capabilities in this set.
Part of 10 available through Leonardo.ai (Generative AI & Models).
- 05 Capability
Get model
Pull the specific parameters and details for any individual model.
- 06 Capability
Delete generation
Remove a specific generation entry and its associated images from your history.
- 07 Capability
Create variation
Generate an unzoom extension to expand the context of an existing image.
08—10
3 capabilities in this set.
Part of 10 available through Leonardo.ai (Generative AI & Models).
- 08 Capability
List platform models
See every public model available on the Leonardo.ai platform.
- 09 Capability
List custom models
View the specific fine-tuned models you've trained on your account.
- 10 Capability
Get user
Fetch your current account metrics and active user data.
Set up in minutes
One URL. Then ask Leonardo.ai (Generative AI & Models) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Leonardo.ai (Generative AI & Models) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Leonardo.ai (Generative AI & Models), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Leonardo.ai (Generative AI & Models) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Leonardo.ai (Generative AI & Models) URL.
- Step 03
Save and start
Save the connection and enable Leonardo.ai (Generative AI & Models) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"leonardoai-generative-ai-models": {
"url": "https://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Leonardo.ai (Generative AI & Models)
Open Agent mode in chat and ask: "Using Leonardo.ai (Generative AI & Models), help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"leonardoai-generative-ai-models": {
"url": "https://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Leonardo.ai (Generative AI & Models)
Ask Copilot: "Using Leonardo.ai (Generative AI & Models), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"leonardoai-generative-ai-models": {
"url": "https://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Leonardo.ai (Generative AI & Models)
Open Cascade and ask: "Using Leonardo.ai (Generative AI & Models), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"leonardoai-generative-ai-models": {
"url": "https://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Leonardo.ai (Generative AI & Models)
Ask Cline: "Using Leonardo.ai (Generative AI & Models), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add leonardoai-generative-ai-models --transport http "https://edge.vinkius.com/vk_preview_y9qRzWWnGSVBvmQMYzSP2JGQCYBThJESo5HQfoqx/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Leonardo.ai (Generative AI & Models)
Ask Claude: "Using Leonardo.ai (Generative AI & Models), show me...". 10 tools are ready
Where the request belongs
Work Leonardo.ai can move forward.
For the creative director who needs to see 50 variations of a logo in an hour, or the content marketer tired of manual prompting for every single social post.
Digital Artist
Iterates on visual concepts and fine-tunes models through conversation.
Content Marketer
Automates high-fidelity asset production for multi-channel campaigns.
Creative Director
Audits team generation history and manages the budget for AI resources.
When one Connector is not enough
Carry the request into a workflow.
Combine Leonardo.ai with the systems that finish the task.
View all recipesBuild the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsImage Router
Route image generation requests to the best AI model automatically based on prompt type, style, and quality requirements.
Together AI
Access 100+ open-source models for chat, image generation, and fine-tuning. Power your AI agents with Llama 3.3, Flux, and more.
Monster API (Serverless GPU & AI Model Hosting)
Access powerful AI models for image generation, text-to-speech, and transcription via serverless GPU infrastructure.
Eden AI
Access 100+ AI models through a single API. route LLMs, generate embeddings, and execute specialized AI tasks like OCR and translation.
Replicate
Run ML models via Replicate. generate images, text, audio and video from community models, track predictions and explore collections from any AI agent.
Playground AI
Generate, inpaint, upscale, and transform images using Playground AI's powerful models via natural language.
Bring your own AI
Change the model, client or framework. Keep Leonardo.ai connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Leonardo.ai.
The practical details behind the request, access and result.
Can I use Leonardo.ai to make images with my AI agent?
Yes, this Connector lets you trigger high-fidelity generations directly from Claude or Cursor. You can describe the scene, and your agent handles the rest.
How do I manage my custom models?
You can ask your agent to list your custom-trained models. It will show you what's available on your account so you can pick the right one for a project.
Can I expand an image I already made?
Yes, you can use the unzoom feature. Just ask your agent to create a variation of a specific image to add more context or background.
Does this Connector help with image-to-image?
It does. You can get secure URLs to upload reference photos, allowing your agent to guide the generation based on an existing image.
Can I see how many tokens I have left?
Yes, your agent can check your account metrics. It will tell you your remaining daily balance and how many generations you've done this cycle.
How do I find my old generations?
You can ask the agent to list your recent generations. It will pull the history so you don't have to dig through the Leonardo.ai dashboard.
Can I delete old images from my history?
Yes, you can tell your agent to delete specific generation logs and their image arrays to keep your history clean.
Can I check the progress of my image generation through my agent?
Yes. Use the get_generation_status capability 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 capability 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.
One connection away
Give your agent a direct line to Leonardo.ai.
Connect Leonardo.ai once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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