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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 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
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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Metabolic Energy Estimator, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Metabolic Energy Estimator, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Metabolic Energy Estimator tools and transform it with OpenAI models in a single async loop
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.
"I weigh 80kg and ran moderately for 45 minutes. How many calories did I burn?"
"I am a 30-year-old male, 180cm, 85kg, with a sedentary lifestyle. What is my TDEE?"
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Metabolic Energy Estimator + OpenAI Agents SDK FAQ
Common questions about integrating Metabolic Energy Estimator MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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