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Metabolic Energy Estimator MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 4 tools to Calculate Tdee, Calculate Weight Loss Projection, Estimate Calories Burned, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Metabolic Energy Estimator through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Metabolic Energy Estimator MCP Server for OpenAI Agents SDK 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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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Metabolic Energy Estimator Assistant",
            instructions=(
                "You help users interact with Metabolic Energy Estimator. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Metabolic Energy Estimator"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 4 tools from Metabolic Energy Estimator through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Metabolic Energy Estimator, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 4 tools from Metabolic Energy Estimator

Why Use OpenAI Agents SDK with the Metabolic Energy Estimator MCP Server

OpenAI Agents SDK provides unique advantages when paired with Metabolic Energy Estimator through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Metabolic Energy Estimator + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Metabolic Energy Estimator MCP Server delivers measurable value.

01

Automated workflows: build agents that query Metabolic Energy Estimator, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Metabolic Energy Estimator, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Metabolic Energy Estimator tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Metabolic Energy Estimator to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Metabolic Energy Estimator in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Metabolic Energy Estimator to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Metabolic Energy Estimator + OpenAI Agents SDK FAQ

Common questions about integrating Metabolic Energy Estimator MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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