How to Use the Metabolic Energy Estimator MCP in CrewAI

Q: How do I install the Metabolic Energy Estimator MCP Server tools for a CrewAI team?

Run pip install crewai "crewaitools". You can then pass the server endpoint URL directly into your CrewAI Agent definition using the mcps parameter.

Q: How do I restrict specific Metabolic Energy Estimator MCP Server tools to certain CrewAI agents?

Use the MCPServerHTTP class from crewai.mcp and apply a toolfilter to expose only the relevant metabolic tools to your specialized agents.

Q: Does the activity catalog require an internet connection?

No. The searchactivitycatalog tool queries a local, deterministic database of over 80 activities, so your agents can calculate MET values completely offline.

Deploy specialized agent teams to build custom fitness programs using CrewAI and the Metabolic Energy Estimator.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Metabolic Energy Estimator MCP to CrewAI

Create your Vinkius account to connect Metabolic Energy Estimator to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Metabolic Energy Estimator with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate metabolic analysis across CrewAI agents

`calculate_tdee` outputs baseline metabolic metrics using the Mifflin-St Jeor equation, giving your crew a precise starting point. In CrewAI, you can assign this tool to a specialized "Nutritionist Agent" while a "Data Analyst Agent" cross-references the output against historical trends. This division of labor prevents a single LLM from getting overwhelmed. Your agents pass the structured TDEE outputs back and forth through shared memory, refining caloric targets collaboratively.

Run autonomous weight loss projections using this MCP Server

`calculate_weight_loss_projection` calculates target weight timelines by applying the 7,700 kcal per kilogram rule. Within a CrewAI hierarchical structure, a supervisor agent can invoke this tool to verify if a proposed diet plan aligns with the user's target date. If the projection shows the timeline is unrealistic, the supervisor agent sends the plan back to the researcher agent for modification. This automated loop guarantees that the final fitness plan remains scientifically grounded.

Search activities and estimate burn with agent teams

`search_activity_catalog` allows a research agent to find exact MET values from a local catalog of 80+ activities. A separate fitness agent can then use `estimate_calories_burned` to calculate the actual energy expenditure for a specific workout duration and body weight. CrewAI allows you to restrict tool access using custom filters. You can expose the activity catalog to your workout planning agent while keeping the projection tools restricted to your diagnostic agents.

Setup guide

Set up Metabolic Energy Estimator MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Metabolic Energy Estimator tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Metabolic Energy Estimator Analyst",
    goal="Access and analyze Metabolic Energy Estimator data via MCP.",
    backstory="Expert analyst with direct Metabolic Energy Estimator access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Metabolic Energy Estimator transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Metabolic Energy Estimator Analyst",
        goal="Access and analyze Metabolic Energy Estimator data via MCP.",
        backstory="Expert analyst with direct Metabolic Energy Estimator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Metabolic Energy Estimator transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by calorie-burn-estimator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Metabolic Energy Estimator now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Metabolic Energy Estimator MCP in CrewAI

Run `pip install crewai "crewai[tools]"`. You can then pass the server endpoint URL directly into your CrewAI Agent definition using the `mcps` parameter.

Yes. CrewAI agents utilize shared memory, meaning the TDEE and weight projections calculated by one agent are instantly available to all other agents in the crew.

Use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter` to expose only the relevant metabolic tools to your specialized agents.

No. The `search_activity_catalog` tool queries a local, deterministic database of over 80 activities, so your agents can calculate MET values completely offline.

Your weight, metabolic stats, and activity logs remain strictly within your local execution context and the secure ephemeral sandbox of the MCP Server. Vinkius uses zero-trust network protocols to ensure your health metrics never leak to external logging servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript