Heat Cycle Tracker Connector for AI agents.
3 live capabilities
Predict fertile windows and reproductive cycles for livestock and pets.
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Why people use Heat Cycle Tracker
Heat Cycle Tracker: Ending Manual Reproductive Calculations in Livestock Management
This Connector changes that by letting your AI client handle the heavy lifting. You just tell the agent the breed and a starting date, and it pulls the correct biological data to give you a clear timeline. You get a reliable schedule of fertile windows and phase breakdowns without ever opening a biology textbook.
What Vinkius changes
You get accurate, breed-specific reproductive dates without doing the math yourself.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Livestock Breeding Planning
A farmer asks their agent to predict the next fertile window for a herd of cows to plan for artificial insemination.
- Real-world use case 02
High-End Pet Breeding
A Siamese cat breeder wants to know the exact dates for the next cycle to decide on a breeding window.
- Real-world use case 03
Veterinary Clinic Consultations
A tech uses the capability to give a pet owner a rough timeline of their dog's upcoming heat cycle during an exam.
Complete set · 3capabilities
The complete Heat Cycle Tracker capability set.
These are the exact actions your AI can choose when you ask it to work with Heat Cycle Tracker.
01—03
3 capabilities in this set.
Part of 3 available through Heat Cycle Tracker.
- 01 Capability
Get breed metadata
Pulls average cycle lengths and phase distributions for a specific breed. This establishes the biological baseline for your data.
- 02 Capability
Segment cycle phases
Provides a full chronological breakdown of all biological phases for a single cycle. It shows exactly when each phase starts and ends.
- 03 Capability
Calculate upcoming heat
Predicts the date of the next fertile window and the start of the next cycle. Use this to plan your next breeding steps.
Set up in minutes
One URL. Then ask Heat Cycle Tracker to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Heat Cycle Tracker 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_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Heat Cycle Tracker for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker URL.
- Step 03
Save and start
Save the connection and enable Heat Cycle Tracker in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"heat-cycle-tracker": {
"url": "https://edge.vinkius.com/vk_preview_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker
Open Agent mode in chat and ask: "Using Heat Cycle Tracker, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"heat-cycle-tracker": {
"url": "https://edge.vinkius.com/vk_preview_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker
Ask Copilot: "Using Heat Cycle Tracker, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"heat-cycle-tracker": {
"url": "https://edge.vinkius.com/vk_preview_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker
Open Cascade and ask: "Using Heat Cycle Tracker, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"heat-cycle-tracker": {
"url": "https://edge.vinkius.com/vk_preview_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker
Ask Cline: "Using Heat Cycle Tracker, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add heat-cycle-tracker --transport http "https://edge.vinkius.com/vk_preview_xEuwLUImEcsa3G5hWTV5AkOZVDUe6IXp2r7gLtZw/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 Heat Cycle Tracker
Ask Claude: "Using Heat Cycle Tracker, show me...". 3 tools are ready
Where the request belongs
Work Heat Cycle Tracker can move forward.
This is for people who manage animal reproduction at scale or for high-end personal pet breeding. It solves the headache of manual date tracking and biology research.
Livestock Farmer
Uses the capability on a Tuesday afternoon to map out artificial insemination dates for a large herd.
Commercial Breeder
Tracks specific breed cycles to ensure optimal breeding windows for high-value pets.
Veterinary Technician
Provides quick, accurate reproductive estimates to pet owners during routine checkups.
Wildlife Biologist
Maps out physiological phases for conservation efforts and population tracking.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Heat Cycle Tracker 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 -
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Open WebUI -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Heat Cycle Tracker.
The practical details behind the request, access and result.
How does Heat Cycle Tracker help with livestock management?
It helps you plan breeding by predicting fertile windows for your herd. By using breed-specific data, you can schedule insemination or breeding more accurately.
Can I use Heat Cycle Tracker for different dog breeds?
Yes. The Connector pulls specific metadata for various breeds, ensuring the predictions are based on the correct biological cycle lengths.
What specific phases does the Heat Cycle Tracker identify?
It provides a chronological breakdown of Proestrus, Estrus, Diestrus, and Anestrus. This helps you see exactly when an animal is in its peak reproductive window.
Is Heat Cycle Tracker meant for unspayed animals only?
Yes, this capability is specifically designed to track the reproductive cycles of unspayed female animals.
How accurate are the dates provided by Heat Cycle Tracker?
The dates are calculated based on established breed-specific biological baselines. While individual animals vary, it provides a highly reliable estimate for planning.
What information does `get_breed_metadata` provide?
It returns the average cycle duration and the percentage of time spent in each phase (Proestrus, Estrus, Diestrus, and Anestrus) for a specific breed.
How is the fertile window calculated in `calculate_upcoming_heat`?
The capability uses the date of the last heat and the breed's specific Estrus phase proportion to estimate the start and end dates of the next fertile period.
Can I see a full timeline of the cycle phases?
Yes, using the segment_cycle_phases capability, you can get a chronological breakdown of all biological stages for a specific cycle start date.
One connection away
Give your agent a direct line to Heat Cycle Tracker.
Connect Heat Cycle Tracker once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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