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How to Use the API Ninjas MCP in Google ADK

Bring health analytics to your Google ADK agents with API Ninjas for deep context and data-driven reasoning.

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Google ADK

Connect API Ninjas MCP to Google ADK

Create your Vinkius account to connect API Ninjas to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Build health agents with Google ADK

Link `get_tdee` and `get_bmr` to your agent to process user metrics alongside your BigQuery datasets. It gives your Gemini-powered agents the raw numbers needed for enterprise-grade health reporting. Your Google ADK workflow benefits from the 1M+ token context window. This allows the agent to correlate long-term nutrition logs from `get_nutrition` with current energy expenditure.

Query exercises within Google ADK

Call `get_exercises` to pull specific workout routines into your agent's reasoning loop. You can filter by muscle group to help the agent suggest tailored plans for your users. This MCP Server provides the granular data your agent needs to act on specific physical goals. It integrates with your existing Google Cloud infrastructure without extra overhead.

Track body metrics in Google ADK

Use `get_body_fat` and `get_steps` to convert raw user inputs into meaningful health insights. Your agent can now reason about physical activity trends without manual data entry. Google ADK allows you to restrict exposed tools using a filter. This keeps your agent focused on specific health domains by only surfacing the relevant functions.

Setup guide

Set up API Ninjas MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with API Ninjas tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="API Ninjas_agent",
    model="gemini-2.0-flash",
    instruction="You have access to API Ninjas tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API Ninjas. 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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about API Ninjas MCP in Google ADK

Use the McpToolset class with your server URL. Inject this into your LlmAgent to start calling functions immediately.
It supports both Stdio and HTTP transports. You'll find it handles the API Ninjas connection natively through the toolset object.
Use the optional tool_names parameter when defining your toolset. This restricts the agent to only the specific endpoints you want to expose.
The server provides the calculation logic. You can feed your BigQuery outputs into these tools to get the final health metrics.
Your inputs are processed in a V8-isolated, ephemeral sandbox. We don't log your personal measurements, and the connection is strictly secured via your Vinkius token.

Start using the API Ninjas MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for API Ninjas. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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