Integrate Metabolic Energy Estimator with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCalculate tdee on Metabolic Energy Estimator
Calculates Total Daily Energy Expenditure (TDEE) and Basal Metabolic Rate (BMR) using the Mifflin-St Jeor equation
Calculate weight loss projection on Metabolic Energy Estimator
1kg of fat = 7700 calories. Projects how many days and weeks it will take to reach a target weight based on a daily calorie deficit
Estimate calories burned on Metabolic Energy Estimator
You MUST provide an activityId found via search_activity_catalog. Calculates exactly how many calories are burned doing a specific physical activity based on weight and time
Search activity catalog on Metabolic Energy Estimator
Searches the deterministic local catalog for activities and their exact MET values
Security & Code Integrity Audit
Every tool in the Metabolic Energy Estimator MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
How does it calculate the calories burned?
The estimate_calories_burned tool uses the standard metabolic formula: Calories = MET * weight(kg) * time(hours). It pulls the exact MET value from its internal activity catalog.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for Metabolic Energy Estimator
The Metabolic Energy Estimator integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Managing metabolic calculation inside Claude
The Metabolic Energy Estimator toolkit enables AI agents to execute metabolic calculation commands. It handles protocol translation for data analytics integrations natively.
ChatGPT fitness tracking Automation
Deploy the Metabolic Energy Estimator toolkit to manage fitness tracking. The integration offers robust endpoints for ChatGPT to control data analytics settings.
Metabolic Energy Estimator. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Explore More MCP Servers
View all →
Coassemble
8 toolsManage online training and LMS via Coassemble — track courses, monitor enrolments, and manage student groups directly from any AI agent.
Rollbar
10 toolsConnect your AI assistant to Rollbar to identify active bugs, review stack traces, trace code deployments, and manage error lifecycles without leaving the chat.
OpenSanctions
8 toolsScreen persons and companies against global sanctions lists and PEP databases for KYC/AML compliance.
AutoGen
10 toolsOrchestrate Microsoft AutoGen multi-agent workflows — manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.