Are the exercise videos permanent or temporary?

The video and thumbnail URLs returned by the API are pre-signed links that expire after 48 hours. If you are developing an app, you should not cache these URLs; instead, refetch the exercise details when displaying them.

Can I generate a full weekly workout program?

Yes! Use the `generate_program` tool. You can specify your primary goal (like hypertrophy), the number of weeks, the equipment you have available, and how many days per week you plan to train. The agent will return a complete, day-by-day split.

How does the meal plan generator work?

The `generate_meal_plan` tool uses a mathematical algorithm to select balanced recipes from the database (breakfast, lunch, dinner, snacks) that collectively hit your precise target calories and follow specific constraints like vegan or paleo.

YMovE Fitness MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: YMovE Fitness
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to YMovE Fitness through the Vinkius — pass the Edge URL in the `mcps` parameter and every YMovE Fitness tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="YMovE Fitness Specialist",
    goal="Help users interact with YMovE Fitness effectively",
    backstory=(
        "You are an expert at leveraging YMovE Fitness tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in YMovE Fitness "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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* 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 YMovE Fitness MCP Server

Empower your AI agent with professional-grade fitness and nutrition intelligence through YMovE Fitness. Access comprehensive databases of exercises, foods, and recipes, or automatically generate customized workout routines and meal plans.

When paired with CrewAI, YMovE Fitness becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call YMovE Fitness tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Workout Generation — Instantly create single-session workouts customized by muscle group, equipment, and difficulty
Training Programs — Generate multi-week fitness programs tailored to specific goals like hypertrophy or weight loss
Exercise Dictionary — Access detailed instructions, target muscles, and temporary video demonstrations for hundreds of exercises
Meal Plan Generation — Mathematically generate a full day of meals that hit your exact calorie and macro targets
Food Database — Lookup up nutritional data for generic or branded foods by keyword or barcode (UPC/EAN)
Recipe Search — Find specific recipes filtered by diet constraints (e.g. keto, vegan) and calorie limits

The YMovE Fitness MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect YMovE Fitness to CrewAI via MCP

Follow these steps to integrate the YMovE Fitness MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 12 tools from YMovE Fitness

Why Use CrewAI with the YMovE Fitness MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with YMovE Fitness through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

YMovE Fitness + CrewAI Use Cases

Practical scenarios where CrewAI combined with the YMovE Fitness MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries YMovE Fitness for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries YMovE Fitness, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain YMovE Fitness tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries YMovE Fitness against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

YMovE Fitness MCP Tools for CrewAI (12)

These 12 tools become available when you connect YMovE Fitness to CrewAI via MCP:

generate_meal_plan

Generate a daily meal plan reaching a specific calorie target

generate_program

g. "hypertrophy", "weight_loss", "strength"). Generate a multi-week training program

generate_workout

Use this when the user wants a routine for today. Generate a custom single-session workout

get_exercise_details

Get complete details and instructions for a specific exercise

get_food_by_barcode

Look up a specific food product by its UPC/EAN barcode

get_food_details

Get detailed nutritional breakdown for a specific food

get_recipe_details

Get full recipe details including ingredients and instructions

list_exercise_types

List all valid exercise types (e.g. strength, cardio, stretching)

list_muscle_groups

List all available muscle groups

search_exercises

It returns a list of matching exercises with their IDs, which you need for get_exercise_details. Search for specific exercises in the YMovE database

search_foods

Search the food database for nutritional values

search_recipes

g. vegan, keto), or maximum calories. Search for recipes based on diet or calories

Example Prompts for YMovE Fitness in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with YMovE Fitness immediately.

"Generate a 30-minute chest and triceps workout using only dumbbells."

"Create a 2500 calorie vegan meal plan for today."

"What are the macros for a generic banana?"

Troubleshooting YMovE Fitness MCP Server with CrewAI

Common issues when connecting YMovE Fitness to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

YMovE Fitness + CrewAI FAQ

Common questions about integrating YMovE Fitness MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.