calorie-burn-estimator Connector for AI agents.
4 live capabilities
Get scientifically accurate calorie counts and weight loss projections for fitness tracking.
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Why people use calorie-burn-estimator
Metabolic Energy Estimator: Solving the Hallucination Problem in Fitness Tracking
This Connector fixes that by moving the math from the creative part of the AI to a deterministic engine. It pulls from a local catalog of MET values and uses the Mifflin-St Jeor equation to ensure every calorie count and TDEE calculation is grounded in reality.
What Vinkius changes
That your agent stops guessing and starts using validated science to provide accurate fitness data.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Precise calorie tracking for workouts
A user asks how much they burned on a 30-minute moderate run.
- Real-world use case 02
Realistic goal setting for clients
A personal trainer wants to know if a client's goal is realistic.
- Real-world use case 03
Privacy-first metabolic profiling
A fitness enthusiast wants to know their daily calorie limit.
Complete set · 4capabilities
The complete calorie-burn-estimator capability set.
These are the exact actions your AI can choose when you ask it to work with calorie-burn-estimator.
01—04
4 capabilities in this set.
Part of 4 available through calorie-burn-estimator.
- 01 Capability
Estimate calories burned
Calculates calories burned for a specific activity based on user weight and time. This ensures your agent provides accurate burn data.
- 02 Capability
Search activity catalog
Searches a local database to find MET values for over 80 different physical activities. This helps the agent identify the right exercise type.
- 03 Capability
Calculate weight loss projection
Projects the number of days or weeks to reach a goal based on a daily calorie deficit. This helps users see a realistic timeline.
- 04 Capability
Calculate tdee
Computes BMR and TDEE using the Mifflin-St Jeor equation for accurate metabolic profiling. It keeps health metrics private and local.
Set up in minutes
One URL. Then ask calorie-burn-estimator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use calorie-burn-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_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable calorie-burn-estimator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator URL.
- Step 03
Save and start
Save the connection and enable calorie-burn-estimator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"metabolic-energy-estimator": {
"url": "https://edge.vinkius.com/vk_preview_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator
Open Agent mode in chat and ask: "Using calorie-burn-estimator, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"metabolic-energy-estimator": {
"url": "https://edge.vinkius.com/vk_preview_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator
Ask Copilot: "Using calorie-burn-estimator, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"metabolic-energy-estimator": {
"url": "https://edge.vinkius.com/vk_preview_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator
Open Cascade and ask: "Using calorie-burn-estimator, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"metabolic-energy-estimator": {
"url": "https://edge.vinkius.com/vk_preview_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator
Ask Cline: "Using calorie-burn-estimator, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add metabolic-energy-estimator --transport http "https://edge.vinkius.com/vk_preview_QbiJ4rXtQPwZfH3p1mBhZHFb1LItsV5gFIj6x7lz/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 calorie-burn-estimator
Ask Claude: "Using calorie-burn-estimator, show me...". 4 tools are ready
Where the request belongs
Work calorie-burn-estimator can move forward.
Fitness coaches and health tech developers who need to provide accurate, data-driven advice without the risk of AI hallucinations.
Fitness Coach
Creating personalized workout plans and tracking client progress with precise calorie targets.
Health App Developer
Building fitness features that require reliable metabolic math without building a backend.
Personal Trainer
Quickly projecting client goals to show realistic timelines for weight loss or muscle gain.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAPI Ninjas
Access fitness, health and nutrition capabilities. search exercises, calculate calories, body fat, BMR, TDEE and get nutrition info.
Physiological Hydration Metric Engine
Compute exact metabolic water intake requirements. Structure highly optimized, circadian fluid distribution schedules adapting natively to body mass, physical output, and environmental climate.
Fitbit
Analyze your health and fitness data. track Active Zone Minutes, activity logs, blood glucose, and body goals directly from your AI agent.
YMovE Fitness
Turn your AI agent into a personal trainer and nutritionist with the YMovE Fitness API. Generate workouts, programs, and meal plans.
Calorie Deficit Calculator
Calculate BMR, TDEE, and personalized weight loss plans with precision.
Calorie Burn Estimator
Calculate energy expenditure using MET values, body weight, and activity duration.
Bring your own AI
Change the model, client or framework. Keep calorie-burn-estimator 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 calorie-burn-estimator.
The practical details behind the request, access and result.
Can the Metabolic Energy Estimator give me exact calorie counts?
Yes, it uses a catalog of 80+ activities to calculate precise burn rates based on your specific weight and the duration of your workout.
How does the Metabolic Energy Estimator calculate my TDEE?
It uses the Mifflin-St Jeor equation, which is a standard scientific method for determining your Basal Metabolic Rate and Total Daily Energy Expenditure.
Is my health data safe with the Metabolic Energy Estimator?
Yes, all metabolic calculations happen locally through the Connector, so your weight, height, and age aren't sent to external cloud services.
Can I use the Metabolic Energy Estimator to see how long it takes to lose weight?
Absolutely. It can project a specific timeline in days and weeks based on your target weight and your daily caloric deficit.
What kind of activities are included in the Metabolic Energy Estimator?
It includes a catalog of over 80 different physical activities with validated MET values.
Why should I use this instead of just asking my AI?
Standard AI models often guess numbers, which can be inaccurate. This Connector ensures the math is deterministic and scientifically grounded.
How does it calculate the calories burned?
The estimate_calories_burned capability uses the standard metabolic formula: Calories = MET * weight(kg) * time(hours). It pulls the exact MET value from its internal activity catalog.
What formula is used for Basal Metabolic Rate (BMR)?
The calculate_tdee capability uses the Mifflin-St Jeor equation, which is currently considered the most accurate standard for predicting resting metabolic rate.
How does it project weight loss?
The calculate_weight_loss_projection capability uses the biological constant that 1kg of body fat equals approximately 7700 calories. It divides the total required deficit by your daily deficit to predict the exact timeline.
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