Litter Size Estimator Connector for AI agents.
3 live capabilities
Predict puppy litter sizes and breed statistics for better breeding plans.
Waiting for input…
Why people use Litter Size Estimator
Litter Size Estimator for Canine Breeding Logistics
With this Connector, you just tell your agent the breed and size. It pulls the numbers immediately, so you can get your supply list finished in one go.
What Vinkius changes
You get accurate, breed-specific litter projections in seconds.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Planning kennel supplies for a Golden Retriever
A breeder wants to know how many puppies to expect from a Medium-sized Golden Retriever.
- Real-world use case 02
Preparing a puppy care package for a clinic
A vet clinic needs to know the typical litter size for a Bulldog to prepare a puppy care package.
- Real-world use case 03
Verifying breed coverage for research
A researcher needs to see a list of all breeds the capability covers to ensure their study is represented.
Complete set · 3capabilities
The complete Litter Size Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Litter Size Estimator.
01—03
3 capabilities in this set.
Part of 3 available through Litter Size Estimator.
- 01 Capability
List supported breeds
Shows every breed currently in the database. Use this to see what's available for estimation.
- 02 Capability
Calculate litter estimate
Predicts the number of puppies based on breed and size. It gives you a range of what to expect.
- 03 Capability
Lookup breed statistics
Provides general litter size trends for a specific breed. It's great for high-level planning.
Set up in minutes
One URL. Then ask Litter Size Estimator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Litter Size Estimator 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_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Litter Size Estimator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator URL.
- Step 03
Save and start
Save the connection and enable Litter Size Estimator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"litter-size-estimator": {
"url": "https://edge.vinkius.com/vk_preview_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator
Open Agent mode in chat and ask: "Using Litter Size Estimator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"litter-size-estimator": {
"url": "https://edge.vinkius.com/vk_preview_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator
Ask Copilot: "Using Litter Size Estimator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"litter-size-estimator": {
"url": "https://edge.vinkius.com/vk_preview_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator
Open Cascade and ask: "Using Litter Size Estimator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"litter-size-estimator": {
"url": "https://edge.vinkius.com/vk_preview_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator
Ask Cline: "Using Litter Size Estimator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add litter-size-estimator --transport http "https://edge.vinkius.com/vk_preview_90v96Im56uIxM6XNq8wPoaPKr2g4sgl0eU1aQKBq/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 Litter Size Estimator
Ask Claude: "Using Litter Size Estimator, show me...". 3 tools are ready
Where the request belongs
Work Litter Size Estimator can move forward.
This is for professional breeders and veterinary staff who need to forecast supplies and space requirements accurately without manual research.
Professional Breeder
Plans for kennel space and food supplies for upcoming litters.
Veterinary Technician
Provides quick estimates to clients during prenatal consultations.
Canine Researcher
Gathers baseline biological data for breed studies.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Calculates optimal daily exercise requirements, recommended activity types, and potential health risks specific to your dog's breed, age, and energy level.
Heat Cycle Tracker
Predict reproductive cycles and fertile windows for unspayed animals based on breed data.
Bring your own AI
Change the model, client or framework. Keep Litter Size Estimator 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 Litter Size Estimator.
The practical details behind the request, access and result.
Can the Litter Size Estimator help me plan for my new puppies?
Yes, it gives you the average, min, and max counts so you can buy the right amount of food and bedding.
Does the Litter Size Estimator work for all dog breeds?
It covers a wide range of breeds, but you should use the list capability to see if your specific breed is included.
How does the Litter Size Estimator calculate puppy numbers?
It uses biological trends based on the specific breed and the physical size of the dog, like Small, Medium, or Large.
Can I use the Litter Size Estimator for other animals?
No, this specific MCP is built for canine breeds and doesn't provide data for cats or other livestock.
What do I need to provide to get an estimate from the Litter Size Estimator?
You just need to tell your agent the breed of the dog and whether they are Small, Medium, or Large.
Is the Litter Size Estimator accurate for every single dog?
It provides biological averages and ranges. Every dog is different, but these stats help you plan for the most likely outcome.
How accurate are these estimates?
Estimates are based on hardcoded population datasets representing biological trends in specific breeds and size classes.
What dog sizes are supported?
The capability supports three physical categories: Small, Medium, and Large.
Can I see all available breeds?
Yes, you can use the list_supported_breeds capability to retrieve a complete list of all supported breed names.
One connection away
Give your agent a direct line to Litter Size Estimator.
Connect Litter Size Estimator once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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