Hydration Metric MCP for AI. Gets precise fluid schedules respecting your body and clock.
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Physiological Hydration Metric Engine calculates precise, metabolically accurate fluid intake schedules. It moves beyond generic '8 glasses of water' advice by factoring in your exact body mass, physical activity level, and local climate stress.
The engine generates a detailed circadian distribution map, scheduling specific milliliter goals across your active hours.
What your AI can do
Calculate full hydration plan
Computes the total hydration target and generates the complete, timed circadian fluid distribution schedule in one function call.
Calculate hydration schedule
Takes a specified water volume (totalMl) and distributes it evenly across your waking hours into predefined physiological milestones.
Calculate hydration target
Calculates the required daily water volume by combining your weight, physical activity level, and environmental climate inputs.
The calculate_hydration_target tool computes the total necessary fluid intake using only your weight, activity level, and climate.
Use get_activity_hydration_modifier to determine the exact milliliter penalty caused by specific physical activities (like switching from sedentary to elite athlete).
The get_climate_hydration_modifier tool adds water volume based on whether your environment is classified as tropical or cold.
The calculate_hydration_schedule takes a total milliliter target and segments it into evenly spaced, actionable fluid goals throughout the day.
The calculate_full_hydration_plan tool runs all necessary calculations—baseline, activity, climate, and scheduling—in one step to provide a final schedule.
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Physiological Hydration Metric Engine MCP Server: 5 Tools
Use this collection of tools to calculate total hydration targets and generate timed fluid distribution schedules based on advanced physiological metrics.
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Start using Physiological Hydration Metric Engine on VinkiusCalculate Full Hydration Plan
Computes the total hydration target and generates the complete, timed circadian fluid distribution schedule in one function call.
Calculate Hydration Schedule
Takes a specified water volume (totalMl) and distributes it evenly across your...
Calculate Hydration Target
Calculates the required daily water volume by combining your weight, physical...
Get Activity Hydration Modifier
Retrieves a specific water penalty (in ml) caused by classifying a user's physical...
Get Climate Hydration Modifier
Retrieves the required additional water volume (in ml) based on environmental...
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
General health advice rarely accounts for the math.
You know that general wellness articles tell you to 'drink eight glasses of water.' But those recommendations are based on outdated, generalized formulas. They don't know if you’re running a marathon, or if you just spent the day in a tropical heat wave. You end up with a static number—a target that doesn't change even when your activity level shifts.
With this MCP server, you get real math. By combining `calculate_hydration_target` with modifiers like `get_activity_hydration_modifier`, you generate a dynamic volume goal that changes based on the specifics of *your* day. It’s not advice; it's calculation.
The Physiological Hydration Metric Engine: Full Plan Calculation
Manually, you'd have to check your weight, then call a tool for the activity penalty, and another for the climate penalty. Then you’d take that final number and run it through a separate scheduling tool just to figure out when to drink it. It's three or four steps with multiple data transfers.
Now, running `calculate_full_hydration_plan` handles all of it internally. You send in the weight and modifiers once, and you get a single output: a complete, timed fluid distribution schedule. No more manual math; just the answer.
What your AI can actually do with this
Listen up. This isn't some generic 'drink eight glasses a day' garbage. The Physiological Hydration Metric Engine cuts through the noise and gives you math that actually works with human biology. You give it your stats, and it spits out precise water targets (in milliliters) mapped onto a strict circadian schedule.
It knows exactly how much you need at what time.
When you use this server, you're running a sequence of highly specific calculations. The process starts by setting your baseline goal using the calculate_hydration_target tool. You feed it your body weight, and that function calculates the foundational daily volume required. It doesn't guess; it computes the total necessary fluid intake based on those core metrics.
You gotta account for more than just your weight, though. The system adjusts your target by factoring in environmental stress. If you're dealing with tropical heat or a cold climate, you run get_climate_hydration_modifier. That function adds the specific milliliter penalty required to offset those conditions. You also have physical exertion to consider—running marathons ain't the same as sitting on your couch.
When you use get_activity_hydration_modifier, it looks at your activity level, calculating the exact water deficit caused by everything from being sedentary to going full-throttle athlete.
These inputs build up to your true daily goal. The final step is turning that big number into an actionable plan. Instead of just knowing you need 3,000 mL total, the system figures out when and how much you gotta drink. For that, you use calculate_hydration_schedule. You give it your total milliliter target, and this function segments it across your specified waking hours into evenly spaced, digestible goals—like 'Morning Flush' or 'Mid-Afternoon Top Up.'
If all that sounds like too much work, the engine wraps it all up for you. You just fire off calculate_full_hydration_plan. This single tool runs every necessary calculation in one go: it takes your weight, figures out the baseline, adds the activity modifier and the climate modifier, and then spits out a complete, timed circadian fluid distribution map.
It gives you the final schedule without any manual steps or messy intermediate calculations.
It's built for people who know their bodies and need numbers that match up to reality. You use it when you want specific milliliters scheduled across your active hours, not just vague advice.
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Here's how it actually works
The bottom line is: instead of calling three separate tools to get the total volume and then another tool just for timing, running calculate_full_hydration_plan handles the entire process in one go.
You input your weight (kg), activity level, desired climate modifier, and your wake/sleep times.
The engine first uses calculate_hydration_target to set the base volume, then applies modifiers via get_activity_hydration_modifier and get_climate_hydration_modifier. This yields a final total milliliter target.
Finally, it runs calculate_full_hydration_plan, which divides that total into 6 specific time-stamped ingestion milestones for you.
Who is this actually for?
This server is for performance engineers, biohackers, or health tech developers who treat human biology like a system to be modeled. You're done with generalized wellness advice and need code that outputs actionable numbers based on scientific formulas. If you spend time integrating niche data streams (like GPS activity metrics) into an agent workflow, this server is for you.
Uses the calculate_full_hydration_plan tool to build client-side widgets that calculate and display personalized fluid intake schedules based on user activity data.
Employs get_activity_hydration_modifier to quickly adjust a client's hydration targets when they increase their training intensity from running to ultra-marathoning distances.
Uses the full set of tools—from calculate_hydration_target through get_climate_hydration_modifier—to model optimal fluid intake for a trip to a high-heat, tropical climate.
What Changes When You Connect
The calculate_full_hydration_plan tool combines baseline, activity, and climate adjustments into one call. This saves you the messy orchestration code of calling three separate functions just to get a starting point.
Instead of guessing general volumes, use get_activity_hydration_modifier. You input 'elite athlete' for your modifier, and it outputs the exact ml penalty, giving you hard data instead of estimates.
The scheduling tools are precise. If you only have a total volume (e.g., 3000ml) and know your wake/sleep window, calculate_hydration_schedule instantly breaks that into 6 time-stamped segments for maximum adherence.
It handles shift work. The underlying V8 engine manages temporal rollover math for complex schedules—like waking at 14:00 and sleeping the next day at 06:00—flawlessly, which standard LLMs choke on.
You don't need external APIs. This server processes all biometric inputs locally, keeping sensitive health data off third-party endpoints.
See it in action
Tracking an Ironman race week
A coach asks the agent: 'Build a plan for 90kg athlete in tropical climate.' The agent calls calculate_full_hydration_plan, which immediately returns the high-volume target and schedules it into hourly milestones, ensuring the client is properly fueled during intense training.
Planning an international move
A developer asks: 'What's the hydration goal for a 75kg person moving from temperate to tropical climate?' The agent runs calculate_hydration_target and then uses get_climate_hydration_modifier, giving the precise water increase needed before departure.
Modeling shift worker intake
A nurse asks: 'Schedule 3500ml for a person working from 18:00 to 06:00.' The agent uses calculate_hydration_schedule with the specific time inputs, ensuring the final segment falls correctly at the end of their shift without violating the circadian rhythm.
Comparing activity impact
A user asks to compare two scenarios: 'What's the difference between sedentary and running?' The agent calls get_activity_hydration_modifier twice, showing a clear delta (the ml penalty) that justifies increasing the base intake.
The honest tradeoffs
Calculating target in two steps
Calling calculate_hydration_target first to get a number, and then manually feeding that result into calculate_hydration_schedule. This is prone to rounding errors or forgetting one of the modifiers.
Always use calculate_full_hydration_plan. It manages the entire flow—base target plus all modifiers—and outputs a fully scheduled plan in one atomic call. Don't try to manually chain them.
Ignoring time boundaries
Just getting a total volume (e.g., 4000ml) and having the AI suggest 'drink it over 12 hours.' This is useless because it doesn't account for sleep or specific meal times.
Use calculate_hydration_schedule with specific wakeTimeStr and sleepTimeStr inputs. It forces the distribution into realistic, timed segments like 'Morning Flush' and 'Pre-Sleep Sip'.
Assuming a fixed baseline
Using only general wellness advice or a simple calculator that assumes 30ml/kg, ignoring activity level.
First, run calculate_hydration_target to get the initial volume. Then, always chain this result into get_activity_hydration_modifier and get_climate_hydration_modifier before scheduling it.
When It Fits, When It Doesn't
Use this server if your goal is absolute physiological precision—if you need to model fluid intake for a professional athlete, a bio-monitoring system, or someone dealing with complex shift work schedules. The combination of calculate_full_hydration_plan and the modifier tools makes it ideal for building robust health pipelines.
Don't use this if all you need is a rough estimate. If your client just needs to know 'drink plenty of water,' then any general calculator or widget works fine. This server requires specific inputs (kg, activity type, climate) and outputs highly technical scheduling data, which might be overkill for simple consumer apps.
Questions you might have
How does calculate_full_hydration_plan handle my shift work sleep hours? +
It uses robust temporal rollover math for complex scheduling. You can enter a wake time and a sleep time that span midnight (e.g., 14:00 to 06:00), and the schedule adjusts correctly.
Do I need all five tools, or is one enough? +
You don't have to call them individually. For a full plan, use calculate_full_hydration_plan first. It runs the logic of the other four tools internally and gives you the final result.
What are the best inputs for calculate_hydration_target? +
You must provide your weight in kilograms (kg), plus the specific activity level ('sedentary,' 'athlete') and climate type ('cold,' 'tropical'). These three pieces feed the baseline calculation.
Can I use calculate_hydration_schedule if my target volume is already known? +
Yes. If you've calculated your total needed volume using another tool, calculate_hydration_schedule takes that total number (totalMl) and divides it into specific time milestones for you.
Does calling calculate_hydration_target require me to submit my weight in kg? +
Yes, you must provide your current body weight in kilograms (kg). The tool uses this metric as the foundation for calculating your baseline metabolic water requirements.
What happens if I input conflicting modifiers into calculate_full_hydration_plan? +
The engine resolves conflicts mathematically, prioritizing the most restrictive data point. If you list both an 'athlete' status and a 'sedentary' modifier, it calculates based on the highest necessary metabolic penalty.
When I use calculate_hydration_schedule, what is the precision of the fluid milestones? +
The schedule delivers volumes in exact milliliters (ml). You get specific, calculated amounts for every segment—like a 'Morning Flush' or 'Pre-Sleep Sip'—down to the nearest milliliter.
Is my biometric data secure when running calculate_hydration_target? +
The calculation runs locally on your infrastructure. The engine processes sensitive inputs like weight and activity levels without sending them to external health APIs or needing cloud connectivity for core math.
Does this support night-shift workers? +
Yes. The temporal rollover math guarantees that if you wake up at 18:00 and go to sleep at 08:00, the schedule perfectly plots the 14-hour window across midnight without chronological errors.
Why break the hydration into segments? +
Drinking 2 liters of water at once overburdens the kidneys and triggers rapid diuretic flushing, nullifying cellular hydration. Segregating the intake across 'Morning Flush', 'Mid-Day', and 'Pre-Sleep' checkpoints ensures optimal biological absorption.
Why use this tool instead of asking ChatGPT? +
LLMs often struggle to perform 5 simultaneous biological modifier calculations while mapping percentages perfectly across base-60 timestamps. This native MCP eliminates mathematical hallucinations entirely.
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