Drug Half-Life Tracker Connector for AI agents.
3 live capabilities
Predict medication steady-state concentrations and drug decay for safer patient care.
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Why people use Drug Half-Life Tracker
Drug Half-Life Tracker Pharmacokinetic Modeling
With this Connector, you just describe the dosing regimen to your agent. It handles the first-order kinetics and gives you the exact steady-state milestones and accumulation factors. You get a clear picture of the drug's behavior without the manual math.
What Vinkius changes
You get precise pharmacokinetic predictions to ensure safer medication management.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Missed Dose Safety
A patient misses two doses of a high-risk drug.
- Real-world use case 02
Steady State Planning
A pharmacist needs to know when a new medication will reach 90% steady state for a patient on a 4-hour cycle.
- Real-world use case 03
Toxicity Prevention
A researcher is looking at a drug with non-linear kinetics.
Complete set · 3capabilities
The complete Drug Half-Life Tracker capability set.
These are the exact actions your AI can choose when you ask it to work with Drug Half-Life Tracker.
01—03
3 capabilities in this set.
Part of 3 available through Drug Half-Life Tracker.
- 01 Capability
Calculate steady state metrics
Returns 90/95/99% steady state times and the accumulation factor for a given dosing interval. This helps you plan when a drug reaches therapeutic levels.
- 02 Capability
Evaluate missed dose impact
Predicts the remaining concentration ratio in the body after a patient misses one or more doses. Use this to safely manage dosage gaps.
- 03 Capability
Get drug data
Pulls fundamental pharmacokinetic properties like half-life and active metabolites for a specific medication. It provides the base data for all kinetic modeling.
Set up in minutes
One URL. Then ask Drug Half-Life Tracker to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Drug Half-Life Tracker from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Drug Half-Life Tracker, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Drug Half-Life Tracker for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Drug Half-Life Tracker URL.
- Step 03
Save and start
Save the connection and enable Drug Half-Life Tracker in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"drug-half-life-tracker": {
"url": "https://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Drug Half-Life Tracker
Open Agent mode in chat and ask: "Using Drug Half-Life Tracker, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"drug-half-life-tracker": {
"url": "https://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Drug Half-Life Tracker
Ask Copilot: "Using Drug Half-Life Tracker, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"drug-half-life-tracker": {
"url": "https://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Drug Half-Life Tracker
Open Cascade and ask: "Using Drug Half-Life Tracker, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"drug-half-life-tracker": {
"url": "https://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Drug Half-Life Tracker
Ask Cline: "Using Drug Half-Life Tracker, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add drug-half-life-tracker --transport http "https://edge.vinkius.com/vk_preview_uPCtIzZp9ZJfzQF1aWTwbLWmzCzPzK18YP4ckuHd/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Drug Half-Life Tracker
Ask Claude: "Using Drug Half-Life Tracker, show me...". 3 tools are ready
Where the request belongs
Work Drug Half-Life Tracker can move forward.
This is for healthcare professionals who manage high-risk medications. It's for the pharmacist who needs to double-check a complex schedule or the researcher looking for precise accumulation data.
Clinical Pharmacist
Verifies complex dosing schedules for patients with multiple prescriptions to prevent drug interactions or toxicity.
Medical Researcher
Models drug behavior in different scenarios to refine dosage protocols for clinical trials.
Hospital Administrator
Ensures medication safety protocols are backed by accurate pharmacokinetic data for high-risk drugs.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Half-Life Decay Tracker
Simulate drug concentration decay in the body after stopping doses.
Dose Escalation Scheduler
Generate precise medication titration timelines and dose escalation schedules.
Pediatric Dose Calculator
Calculate safe pediatric medication dosages based on weight and frequency.
Drug Renal Dose Adjuster
Calculate medication dose modifications and interval extensions based on renal function levels (CrCl or eGFR) and identify contraindications.
Divided Dose Scheduler
Precisely split a total daily medication volume into equal time intervals.
Medication Schedule Generator
Generate precise medication administration timelines and audit them for safety interval violations.
Bring your own AI
Change the model, client or framework. Keep Drug Half-Life Tracker connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
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Void -
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Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Drug Half-Life Tracker.
The practical details behind the request, access and result.
How can Drug Half-Life Tracker help with medication safety?
It predicts how drugs build up in the body and how they decay, helping you avoid toxicity from accumulation or sub-therapeutic levels.
Can I use Drug Half-Life Tracker to see what happens if a dose is missed?
Yes, you can simulate missed doses to see the remaining concentration, which helps in deciding how to adjust the next dose safely.
Does Drug Half-Life Tracker work for all types of drugs?
It is designed for medications following first-order kinetics, which covers a wide range of common medications.
How does Drug Half-Life Tracker calculate steady state?
It calculates the time required to reach specific milestones like 90%, 95%, and 99% of the steady-state concentration based on your dosing interval.
Can I use Drug Half-Life Tracker to find drug properties?
Yes, it retrieves essential properties like half-life and active metabolites to help you understand the medication's behavior.
Is Drug Half-Life Tracker useful for researchers?
It's a great capability for modeling drug behavior in different scenarios and identifying accumulation factors for clinical research.
How accurate are the steady-state calculations?
The calculations use standard first-order kinetic models to provide precise estimates for 90%, 95%, and 99% steady-state milestones.
Does the capability handle non-linear kinetics?
Yes. When using get_drug_data, if a drug is flagged as having non-linear kinetics, the system provides a warning label to alert users of potential toxicity risks.
Can I simulate the effect of skipping doses?
Yes, by using the evaluate_missed_dose_impact capability, you can predict the residual concentration remaining in the system after a specific number of missed intervals.
One connection away
Give your agent a direct line to Drug Half-Life Tracker.
Connect Drug Half-Life Tracker once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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