4,000+ servers built on vurb.ts
Vinkius

Metabolic Energy Estimator MCP Server for Google ADKGive Google ADK instant access to 4 tools to Calculate Tdee, Calculate Weight Loss Projection, Estimate Calories Burned, and more

MCP Inspector GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Metabolic Energy Estimator as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Metabolic Energy Estimator MCP Server for Google ADK 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="metabolic_energy_estimator_agent",
    instruction=(
        "You help users interact with Metabolic Energy Estimator "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)
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.

Google ADK natively supports Metabolic Energy Estimator as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 4 tools from Metabolic Energy Estimator via MCP

Why Use Google ADK with the Metabolic Energy Estimator MCP Server

Google ADK provides unique advantages when paired with Metabolic Energy Estimator through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Metabolic Energy Estimator

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Metabolic Energy Estimator tools with BigQuery, Vertex AI, and Cloud Functions

Metabolic Energy Estimator + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Metabolic Energy Estimator MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Metabolic Energy Estimator and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Metabolic Energy Estimator tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Metabolic Energy Estimator regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Metabolic Energy Estimator

Example Prompts for Metabolic Energy Estimator in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Metabolic Energy Estimator + Google ADK FAQ

Common questions about integrating Metabolic Energy Estimator MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Explore More MCP Servers

View all →