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Metabolic Energy Estimator MCP Server for Mastra AIGive Mastra AI instant access to 4 tools to Calculate Tdee, Calculate Weight Loss Projection, Estimate Calories Burned, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Metabolic Energy Estimator through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "metabolic-energy-estimator": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Metabolic Energy Estimator Agent",
    instructions:
      "You help users interact with Metabolic Energy Estimator " +
      "using 4 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Metabolic Energy Estimator?"
  );
  console.log(result.text);
}

main();
Metabolic Energy Estimator
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Metabolic Energy Estimator tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 4 tools from Metabolic Energy Estimator via MCP

Why Use Mastra AI with the Metabolic Energy Estimator MCP Server

Mastra AI provides unique advantages when paired with Metabolic Energy Estimator through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Metabolic Energy Estimator without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Metabolic Energy Estimator tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Metabolic Energy Estimator + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Metabolic Energy Estimator MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Metabolic Energy Estimator, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Metabolic Energy Estimator as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Metabolic Energy Estimator on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Metabolic Energy Estimator tools alongside other MCP servers

Example Prompts for Metabolic Energy Estimator in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

Common issues when connecting Metabolic Energy Estimator to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Metabolic Energy Estimator + Mastra AI FAQ

Common questions about integrating Metabolic Energy Estimator MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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