Target Rep Divider Connector for AI agents.
3 live capabilities
Create actionable workout volume plans for strength and hypertrophy training.
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Why people use Target Rep Divider
Target Rep Divider for Strength Training Volume Planning
Target Rep Divider removes that friction. Instead of manually calculating every single exercise in your program, you just tell your AI client what your goal is. It handles the division and gives you a clean, ready-to-use plan. You go from a raw number to a structured set of instructions in seconds.
What Vinkius changes
That it turns complex volume math into a simple, actionable workout plan instantly.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
A coach wants to hit 60 reps for a client
They ask the agent to break it down into sets of 10.
- Real-world use case 02
A lifter is trying to figure out a hypertrophy block
They want 100 total reps but only have time for 12 reps per set.
- Real-world use case 03
A fitness influencer is creating a PDF program
They need to know how to split 40 reps across 4 sets.
Complete set · 3capabilities
The complete Target Rep Divider capability set.
These are the exact actions your AI can choose when you ask it to work with Target Rep Divider.
01—03
3 capabilities in this set.
Part of 3 available through Target Rep Divider.
- 01 Capability
Validate repetition parameters
This checks if your workout numbers are valid. It prevents you from trying to plan impossible rep schemes before you start.
- 02 Capability
Generate repetition instruction
This capability creates a plain-English instruction for a workout. It tells you exactly how many sets to do and what the final reps are.
- 03 Capability
Calculate set breakdown
Use this to get the raw numbers for your volume split. It shows you the total sets and any remaining reps left over.
Set up in minutes
One URL. Then ask Target Rep Divider to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Target Rep Divider 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_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Target Rep Divider for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider URL.
- Step 03
Save and start
Save the connection and enable Target Rep Divider in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"target-rep-divider": {
"url": "https://edge.vinkius.com/vk_preview_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider
Open Agent mode in chat and ask: "Using Target Rep Divider, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"target-rep-divider": {
"url": "https://edge.vinkius.com/vk_preview_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider
Ask Copilot: "Using Target Rep Divider, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"target-rep-divider": {
"url": "https://edge.vinkius.com/vk_preview_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider
Open Cascade and ask: "Using Target Rep Divider, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"target-rep-divider": {
"url": "https://edge.vinkius.com/vk_preview_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider
Ask Cline: "Using Target Rep Divider, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add target-rep-divider --transport http "https://edge.vinkius.com/vk_preview_hByjiNbeFMsKi5fCQ4sfrX4d2X7BXaaa8iMYKfOK/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 Target Rep Divider
Ask Claude: "Using Target Rep Divider, show me...". 3 tools are ready
Where the request belongs
Work Target Rep Divider can move forward.
This is for the coaches and dedicated lifters who are tired of doing mental math in the middle of a heavy set or spending hours balancing spreadsheets for a new training block.
Strength and Conditioning Coach
Creating weekly periodization plans for a team of athletes without manually calculating every single set.
Bodybuilding Coach
Designing hypertrophy programs that hit specific volume targets for different muscle groups.
Powerlifting Athlete
Tracking and planning their own volume to ensure they aren't overtraining or under-performing on specific movements.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Balanced Rep Calibrator
Distribute total repetitions across sets uniformly to avoid small final sets.
Rest Interval Optimizer
Calculate optimal rest periods between sets based on training goals and intensity.
Pyramid Scheme Builder
Generate and compare training repetition sequences using pyramidal progression.
Training Volume Optimizer
Calculate optimal weekly training sets (MEV, MAV, MRV) and session distribution based on hypertrophy principles.
Hypertrophy Rep Range Calculator
Track and optimize muscle hypertrophy by monitoring training volume, RIR targets, and effective stimulus.
Training Load Calculator
Quantify training stress, detect overtraining risks, and generate recovery strategies.
Bring your own AI
Change the model, client or framework. Keep Target Rep Divider connected.
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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 Target Rep Divider.
The practical details behind the request, access and result.
What is the Target Rep Divider MCP?
The Target Rep Divider is a capability for athletes and coaches that automatically breaks down total rep goals into specific sets. It helps you turn a big number into a clear workout plan.
How does this help with hypertrophy training?
It allows you to quickly calculate the exact sets needed to hit your volume targets. This ensures you're getting the right amount of work for muscle growth without the mental math.
Can I use this for strength coaching?
Yes, it's perfect for coaches who need to organize workout volume for their clients. It turns your high-level goals into actionable instructions.
Does it handle leftover reps?
Yes, if your total goal doesn't divide perfectly into your set size, it identifies the remaining reps for your final set.
How do I get a plan for 100 reps?
Just tell your AI client your goal (like 100 reps) and your desired set size (like 12 reps). The capability will give you the exact set count and instructions.
Is this for tracking my gym progress?
No, this is a planning capability. It helps you figure out how many sets to do before you start, rather than logging what you already did.
How does the capability calculate sets?
It uses calculate_set_breakdown to divide total reps by reps per set, identifying full sets and any remaining reps.
Can I use this for hypertrophy training?
Yes, you can use it to plan high-volume sessions by providing your target repetition count and desired set size.
What happens if there are leftover reps?
The generate_repetition_instruction capability will explicitly mention the final set containing the remaining repetitions.
One connection away
Give your agent a direct line to Target Rep Divider.
Connect Target Rep Divider once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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