API Ninjas MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect API Ninjas through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to API Ninjas "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in API Ninjas?"
)
print(result.data)
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 API Ninjas MCP Server
Connect to API Ninjas and access a comprehensive suite of health and fitness tools through natural conversation.
Pydantic AI validates every API Ninjas tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Exercise Search — Search 1000+ exercises by name, type, muscle group and difficulty with step-by-step instructions
- Calories Burned — Calculate calories burned for various activities based on weight and duration
- Body Fat — Estimate body fat percentage using the US Navy method
- BMR & TDEE — Calculate Basal Metabolic Rate and Total Daily Energy Expenditure
- Nutrition — Get nutritional info for any food item (calories, protein, carbs, fat)
- Sleep — Get recommended sleep duration based on age and gender
- Steps — Calculate calories burned and distance from step count
The API Ninjas MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 API Ninjas to Pydantic AI via MCP
Follow these steps to integrate the API Ninjas MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from API Ninjas with type-safe schemas
Why Use Pydantic AI with the API Ninjas MCP Server
Pydantic AI provides unique advantages when paired with API Ninjas through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your API Ninjas integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your API Ninjas connection logic from agent behavior for testable, maintainable code
API Ninjas + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the API Ninjas MCP Server delivers measurable value.
Type-safe data pipelines: query API Ninjas with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple API Ninjas tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query API Ninjas and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock API Ninjas responses and write comprehensive agent tests
API Ninjas MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect API Ninjas to Pydantic AI via MCP:
get_bmr
Requires weight (kg), height (cm), age and gender. Returns BMR value in calories/day. Calculate Basal Metabolic Rate
get_body_fat
Requires waist, neck and height measurements (in cm). For women, also requires hip measurement. Returns body fat percentage and category (lean, fitness, acceptable, obese). Estimate body fat percentage
get_calories_burned
Requires activity name, weight (kg) and duration (minutes). Returns activity name, duration, calories burned and MET value. Calculate calories burned for an activity
get_exercises
Supports filtering by name, type (cardio, olympic_weightlifting, plyometrics, powerlifting, strength, stretching, strongman), muscle (abdominals, abductors, adductors, biceps, calves, chest, forearms, glutes, hamstrings, lats, lower_back, middle_back, neck, quadriceps, traps, triceps) and difficulty (beginner, intermediate, expert). Returns exercise name, type, muscle worked, equipment needed, difficulty level and step-by-step instructions. Search exercises by name, type, muscle or difficulty
get_nutrition
Returns calories, protein, carbohydrates, fat, saturated fat, cholesterol, sodium, potassium, fiber and sugar per 100g serving. Get nutrition info for a food item
get_sleep
Returns recommended sleep range and whether current sleep is adequate. Get recommended sleep duration
get_steps
Requires step count and optionally weight (kg), height (cm), age and gender for more accurate calculations. Calculate calories and distance from steps
get_tdee
Requires weight (kg), height (cm), age, gender and activity level. Returns TDEE value in calories/day with breakdown by activity level. Calculate Total Daily Energy Expenditure
Example Prompts for API Ninjas in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with API Ninjas immediately.
"Find chest exercises for beginners."
"What's the nutritional info for a banana?"
"Calculate my BMR. I'm 30 years old, male, 80kg, 180cm."
Troubleshooting API Ninjas MCP Server with Pydantic AI
Common issues when connecting API Ninjas to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAPI Ninjas + Pydantic AI FAQ
Common questions about integrating API Ninjas MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect API Ninjas with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect API Ninjas to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.