How do I get an ExerciseDB API key?

Sign up on [**RapidAPI**](https://rapidapi.com/justin-w-fns/api/exercisedb) and subscribe to the ExerciseDB API. Free tier includes 10 requests/day. Paid plans offer more requests.

What body parts are available?

The database includes: back, chest, shoulders, upper arms, lower arms, upper legs, lower legs, neck, waist and cardio. Use get_body_part_list to see the complete list.

Does the API include exercise instructions?

Yes! Each exercise includes step-by-step instructions (numbered list) and an animated GIF URL showing the proper form and movement.

ExerciseDB MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: ExerciseDB
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ExerciseDB as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="exercisedb_agent",
    instruction=(
        "You help users interact with ExerciseDB "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

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About ExerciseDB MCP Server

Connect to ExerciseDB and explore a comprehensive exercise database through natural conversation.

Google ADK natively supports ExerciseDB as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Exercise Search — Browse 1300+ exercises with detailed instructions and animated GIFs
Filter by Body Part — Find exercises for back, chest, shoulders, legs, arms, waist and more
Filter by Target Muscle — Search exercises targeting specific muscles (abs, biceps, quads, glutes)
Filter by Equipment — Find exercises by equipment type (dumbbell, barbell, body weight, cable)
Search by Name — Find exercises by name (crunches, curls, presses, squats)
Reference Lists — Get complete lists of body parts, target muscles and equipment types

The ExerciseDB MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK 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 ExerciseDB to Google ADK via MCP

Follow these steps to integrate the ExerciseDB MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from ExerciseDB via MCP

Why Use Google ADK with the ExerciseDB MCP Server

Google ADK provides unique advantages when paired with ExerciseDB through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ExerciseDB

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine ExerciseDB tools with BigQuery, Vertex AI, and Cloud Functions

ExerciseDB + Google ADK Use Cases

Practical scenarios where Google ADK combined with the ExerciseDB MCP Server delivers measurable value.

Enterprise data agents: ADK agents query ExerciseDB and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine ExerciseDB tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query ExerciseDB regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ExerciseDB

ExerciseDB MCP Tools for Google ADK (9)

These 9 tools become available when you connect ExerciseDB to Google ADK via MCP:

get_all_exercises

Returns exercise names, body parts, target muscles, equipment needed, GIF URLs and step-by-step instructions. Supports limit and offset parameters for pagination. Get all exercises with pagination

get_body_part_list

Useful for discovering valid body part values to use with get_exercises_by_body_part. Get list of all body parts

get_equipment_list

Useful for discovering valid equipment values to use with get_exercises_by_equipment. Get list of all equipment types

get_exercise_by_id

Returns exercise name, body part, target muscle, equipment, secondary muscles, step-by-step instructions and animated GIF URL. Get a specific exercise by ID

get_exercises_by_body_part

Common body parts include: "back", "chest", "shoulders", "upper arms", "lower arms", "upper legs", "lower legs", "neck", "waist", "cardio". Returns exercise details with target muscles, equipment and instructions. Get exercises by body part

get_exercises_by_equipment

Common equipment includes: "assisted", "band", "barbell", "body weight", "bosu ball", "cable", "dumbbell", "elliptical machine", "ez barbell", "hammer", "kettlebell", "leverage machine", "medicine ball", "olympic barbell", "resistance band", "roller", "rope", "skierg machine", "sled machine", "smith machine", "stability ball", "stationary bike", "stepmill machine", "tire", "trap bar", "upper body ergometer", "weighted", "wheel roller". Returns exercise details with body part, target muscles and instructions. Get exercises by equipment type

get_exercises_by_name

Returns matching exercises with full details including body part, target muscles, equipment, instructions and GIF URLs. Get exercises by name search

get_exercises_by_target

Common targets include: "abductors", "abs", "adductors", "biceps", "calves", "cardiovascular system", "delts", "forearms", "glutes", "hamstrings", "lats", "levator scapulae", "pectorals", "quads", "serratus anterior", "spine", "traps", "triceps", "upper back". Returns exercise details with body part, equipment and instructions. Get exercises by target muscle

get_target_list

Useful for discovering valid target values to use with get_exercises_by_target. Get list of all target muscles

Example Prompts for ExerciseDB in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with ExerciseDB immediately.

"Show me exercises for chest with dumbbells."

"What exercises target the abs?"

"Show me exercises I can do with just body weight."

Troubleshooting ExerciseDB MCP Server with Google ADK

Common issues when connecting ExerciseDB to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

ExerciseDB + Google ADK FAQ

Common questions about integrating ExerciseDB MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.