Physiological Hydration Metric Engine MCP Server for Google ADKGive Google ADK instant access to 5 tools to Calculate Full Hydration Plan, Calculate Hydration Schedule, Calculate Hydration Target, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Physiological Hydration Metric Engine as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Physiological Hydration Metric Engine MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="physiological_hydration_metric_engine_agent",
instruction=(
"You help users interact with Physiological Hydration Metric Engine "
"using 5 available tools."
),
tools=[mcp_tools],
)
* 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 Physiological Hydration Metric Engine MCP Server
Generic AI prompts telling users to 'drink 8 glasses of water' represent outdated and physiologically inaccurate science. True hydration must scale dynamically with human biology. The Physiological Hydration Engine computes exact milliliter targets and maps them onto a strict circadian temporal schedule.
Google ADK natively supports Physiological Hydration Metric Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
Algorithmic Precision
- Metabolic Baseline Processing: Evaluates the biological baseline (35ml per kg) against strict modifiers for metabolic exertion (from sedentary to elite athlete) and environmental thermal stress (cold vs tropical climates).
- Circadian Fluid Distribution: Calculates the exact waking duration (between the provided wake and sleep timestamps) and automatically segments the total hydration target into 6 strategic ingestion milestones (e.g., 'Morning Flush', 'Pre-Sleep Sip').
- Temporal Rollover Math: LLMs frequently fail when parsing nighttime sleep schedules (e.g., waking at 14:00, sleeping at 06:00). The underlying V8 engine utilizes robust mathematical rollovers to flawlessly navigate nocturnal and shift-worker workflows.
- Zero-Dependency Native Execution: Bypasses external health APIs, ensuring sensitive biological inputs are processed strictly on local infrastructure.
The Physiological Hydration Metric Engine MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 Physiological Hydration Metric Engine tools available for Google ADK
When Google ADK connects to Physiological Hydration Metric Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning metabolic-health, hydration, circadian-rhythm, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Calculate full hydration plan on Physiological Hydration Metric Engine
Requires weightKg, and accepts optional physical/climate/time modifiers. Computes optimal physiological hydration targets and synthesizes a complete circadian fluid distribution schedule in one step
Calculate hydration schedule on Physiological Hydration Metric Engine
Provide totalMl and optionally wakeTimeStr and sleepTimeStr. Distributes a specified total water volume evenly across waking hours into specific physiological milestones
Calculate hydration target on Physiological Hydration Metric Engine
Provide weight in kg. Activity level defaults to sedentary and climate to temperate. Calculates the daily water volume requirement based on body mass, physical exertion, and thermal environment
Get activity hydration modifier on Physiological Hydration Metric Engine
g. sedentary, athlete). Retrieves the exact biological water penalty (in ml) caused by specific physical exertion levels
Get climate hydration modifier on Physiological Hydration Metric Engine
g. cold, tropical). Retrieves the exact thermal water penalty (in ml) caused by specific environmental climates
Connect Physiological Hydration Metric Engine to Google ADK via MCP
Follow these steps to wire Physiological Hydration Metric Engine into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Physiological Hydration Metric Engine MCP Server
Google ADK provides unique advantages when paired with Physiological Hydration Metric Engine 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 Physiological Hydration Metric Engine
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 Physiological Hydration Metric Engine tools with BigQuery, Vertex AI, and Cloud Functions
Physiological Hydration Metric Engine + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Physiological Hydration Metric Engine MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Physiological Hydration Metric Engine and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Physiological Hydration Metric Engine tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Physiological Hydration Metric Engine regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Physiological Hydration Metric Engine
Example Prompts for Physiological Hydration Metric Engine in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Physiological Hydration Metric Engine immediately.
"I weigh 80kg, am highly active, live in a hot climate, wake up at 07:00 and sleep at 23:00. How much water?"
"Build a hydration plan for a sedentary 60kg person in a cold climate (waking 09:00, sleeping 01:00)."
Troubleshooting Physiological Hydration Metric Engine MCP Server with Google ADK
Common issues when connecting Physiological Hydration Metric Engine to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPhysiological Hydration Metric Engine + Google ADK FAQ
Common questions about integrating Physiological Hydration Metric Engine MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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