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Metabolic Energy Estimator MCP Server for VS Code CopilotGive VS Code Copilot instant access to 4 tools to Calculate Tdee, Calculate Weight Loss Projection, Estimate Calories Burned, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this MCP Server for VS Code Copilot

The Metabolic Energy Estimator MCP Server for VS Code Copilot is a standout in the Data Analytics category — giving your AI agent 4 tools to work with, ready to go from day one.

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Classic Setup·json
{
  "mcpServers": {
    "metabolic-energy-estimator": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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Metabolic Energy Estimator
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Metabolic Energy Estimator MCP Server

Autonomous health and fitness agents demand uncompromising metabolic accuracy. When standard LLMs attempt to estimate calories burned for a specific activity, they guess wildly. The Metabolic Energy Estimator MCP empowers your AI Agent by delegating this logic to a deterministic engine utilizing scientifically validated MET (Metabolic Equivalent of Task) values.

GitHub Copilot Agent mode brings Metabolic Energy Estimator data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 4 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

Core Capabilities

  • Agentic Calorie Estimation: Search a native, offline catalog of over 80 specific physical activities and calculate exact calories burned based on the user's exact weight and duration.
  • TDEE & BMR Engine: Implements the rigorous Mifflin-St Jeor equation to establish the user's Basal Metabolic Rate and Total Daily Energy Expenditure without sending health metrics to the cloud.
  • Weight Loss Projection: Compute the exact number of days and weeks required to hit a target weight given a precise daily caloric deficit, complete with safety warnings.

The Metabolic Energy Estimator MCP Server exposes 4 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Metabolic Energy Estimator tools available for VS Code Copilot

When VS Code Copilot connects to Metabolic Energy Estimator through Vinkius, your AI agent gets direct access to every tool listed below — spanning metabolic-calculation, fitness-tracking, tdee, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate tdee on Metabolic Energy Estimator

Calculates Total Daily Energy Expenditure (TDEE) and Basal Metabolic Rate (BMR) using the Mifflin-St Jeor equation

calculate

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

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

Search activity catalog on Metabolic Energy Estimator

Searches the deterministic local catalog for activities and their exact MET values

Connect Metabolic Energy Estimator to VS Code Copilot via MCP

Follow these steps to wire Metabolic Energy Estimator into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Metabolic Energy Estimator

Ask Copilot: "Using Metabolic Energy Estimator, help me...". 4 tools available

Why Use VS Code Copilot with the Metabolic Energy Estimator MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Metabolic Energy Estimator through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Metabolic Energy Estimator + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Metabolic Energy Estimator MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Metabolic Energy Estimator in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Metabolic Energy Estimator immediately.

01

"I weigh 80kg and ran moderately for 45 minutes. How many calories did I burn?"

02

"I am a 30-year-old male, 180cm, 85kg, with a sedentary lifestyle. What is my TDEE?"

03

"I weigh 90kg and want to reach 80kg with a 500 calorie daily deficit. How long will it take?"

Troubleshooting Metabolic Energy Estimator MCP Server with VS Code Copilot

Common issues when connecting Metabolic Energy Estimator to VS Code Copilot through Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Metabolic Energy Estimator + VS Code Copilot FAQ

Common questions about integrating Metabolic Energy Estimator MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

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