How to Use the YMovE Fitness MCP in Pydantic AI
Build reliable fitness agents with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect YMovE Fitness MCP to Pydantic AI
Create your Vinkius account to connect YMovE Fitness to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Generate Programs via MCP Server
Need a full training overhaul? `generate_program` builds multi-week plans—just tell it if you're focused on 'hypertrophy', 'weight_loss', or 'strength.' This tool ensures your fitness goals are met with predictable, structured outputs every time.
Comprehensive Meal and Food Logging
The `generate_meal_plan` function handles the whole meal prep job, generating daily plans that match a specific calorie target. No guesswork involved. Want to know what's in your favorite snack? Use `get_food_details`, or check it out faster with `get_food_by_barcode` and its UPC/EAN.
Find Specific Fitness Movements
Start by checking `list_muscle_groups()` to see which areas you want to work. Then, `search_exercises` gives you the list of IDs you need. For instructions on a specific move, just pass that ID into `get_exercise_details`. It's reliable.
Set up YMovE Fitness MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"ymove-fitness-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to YMovE Fitness tools.",
)
result = await agent.run("List recent YMovE Fitness transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YMovE Fitness. 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.
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Common questions about YMovE Fitness MCP in Pydantic AI
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