API Ninjas MCP Server for CrewAI 8 tools — connect in under 2 minutes
Connect your CrewAI agents to API Ninjas through Vinkius, pass the Edge URL in the `mcps` parameter and every API Ninjas tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="API Ninjas Specialist",
goal="Help users interact with API Ninjas effectively",
backstory=(
"You are an expert at leveraging API Ninjas 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 API Ninjas "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 8 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, API Ninjas becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call API Ninjas tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 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 API Ninjas to CrewAI via MCP
Follow these steps to integrate the API Ninjas 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 8 tools from API Ninjas
Why Use CrewAI with the API Ninjas MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with API Ninjas 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 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
API Ninjas + CrewAI Use Cases
Practical scenarios where CrewAI combined with the API Ninjas MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries API Ninjas 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 API Ninjas, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain API Ninjas 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 API Ninjas against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
API Ninjas MCP Tools for CrewAI (8)
These 8 tools become available when you connect API Ninjas to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting API Ninjas to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
API Ninjas + CrewAI FAQ
Common questions about integrating API Ninjas MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.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.
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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 CrewAI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
