What metrics does this MCP calculate?

It calculates Time in Range (TIR), Time Above Range (TAR), Time Below Range (TBR), Glucose Management Indicator (GMI), and Coefficient of Variation (CV).

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

Does it identify hypoglycemia risks?

Yes, the analysis capability can provide risk flags if the Time Below Range exceeds certain clinical thresholds.

How do I provide the glucose data?

You simply provide a list of glucose readings to your AI client, and it uses the MCP capabilities to process them.

Is it possible to validate my target ranges?

Yes, you can use the validate_target_parameters capability to check if your ranges are clinically logical.

What is Time in Range (TIR)?

TIR is the percentage of time your glucose levels stay within your target range, which is a key indicator of glycemic stability.

How can I check for high glycemic variability?

You can use the analyze_glycemic_metrics capability. It automatically flags high glycemic variability if the Coefficient of Variation (CV) exceeds 36%.

What are clinical flags?

Clinical flags are automated warnings triggered when metrics reach dangerous levels, such as high hypoglycemia risk (TBR > 4%).

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Connect Time in Range Analyzer to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw glucose readings into clinical glycemic reports.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Time in Range Analyzer.

01
Analyze glycemic metrics
This capability generates a full clinical report from a series of glucose readings. It calculates metrics like TIR, TAR, TBR, GMI, and CV.
02
Get glycemic summary stats
This capability provides basic descriptive statistics for glucose datasets. Use it to find the mean, standard deviation, minimum, or maximum values.
03
Validate target parameters
This capability checks if your specified glucose target ranges are clinically logical. It ensures the parameters you use for analysis are sound.

Real work

What teams actually run

Patient Progress Tracking

Compare TIR and GMI across different weeks to see how glucose control is changing.

Hypoglycemia Risk Assessment

Check if a patient's Time Below Range exceeds safe clinical thresholds.

Data Cleaning and Validation

Ensure that the target ranges being used for a specific patient are clinically sound.

Rapid Data Summarization

Get the mean and standard deviation of a glucose set without using a spreadsheet.

One connector, every AI

Time in Range Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Time in Range Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

847ms average. Fast in production.

Time in Range Analyzer is checked daily against the live service.

Daily averagePeak 1035ms

Oct 3Today

Fastest day: 645ms
Slowest day: 1035ms
14-day trend: Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Time in Range Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Time in Range Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Time in Range Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_5Ocma3mKj6swRn5UBRWA03lyFKOh3Jlyw6JkLdb8/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Time in Range Analyzer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "time-in-range-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5Ocma3mKj6swRn5UBRWA03lyFKOh3Jlyw6JkLdb8/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Time in Range Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Time in Range Analyzer owners hand off.

This MCP is built for professionals managing diabetes care and data analysis. It automates the math required to interpret glucose patterns.

01
Diabetes Educators
They hand raw CGM exports to the AI to quickly generate patient reports.
02
Endocrinologists
They use the clinical metrics to evaluate patient glycemic control during consultations.
03
Health Data Researchers
They use the statistical capabilities to process large sets of glucose readings for study.

FAQ

Questions Time in Range Analyzer owners ask.

01
What metrics does this MCP calculate?
It calculates Time in Range (TIR), Time Above Range (TAR), Time Below Range (TBR), Glucose Management Indicator (GMI), and Coefficient of Variation (CV).
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
Does it identify hypoglycemia risks?
Yes, the analysis capability can provide risk flags if the Time Below Range exceeds certain clinical thresholds.
04
How do I provide the glucose data?
You simply provide a list of glucose readings to your AI client, and it uses the MCP capabilities to process them.
05
Is it possible to validate my target ranges?
Yes, you can use the validate_target_parameters capability to check if your ranges are clinically logical.
06
What is Time in Range (TIR)?
TIR is the percentage of time your glucose levels stay within your target range, which is a key indicator of glycemic stability.
07
How can I check for high glycemic variability?
You can use the analyze_glycemic_metrics capability. It automatically flags high glycemic variability if the Coefficient of Variation (CV) exceeds 36%.
08
What are clinical flags?
Clinical flags are automated warnings triggered when metrics reach dangerous levels, such as high hypoglycemia risk (TBR > 4%).

Explore

More in Health

Connect Time in Range Analyzer to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze glycemic metrics

Get glycemic summary stats

Validate target parameters

What teams actually run

Patient Progress Tracking

Hypoglycemia Risk Assessment

Data Cleaning and Validation

Rapid Data Summarization

Building your own app? The connector is yours to use.

Time in Range Analyzer Connector

Claude Desktop

Diabetes Educators

Endocrinologists

Health Data Researchers

What metrics does this MCP calculate?

Can I use this with Claude or Cursor?

Does it identify hypoglycemia risks?

How do I provide the glucose data?

Is it possible to validate my target ranges?

What is Time in Range (TIR)?

How can I check for high glycemic variability?

What are clinical flags?

Continuous Glucose Monitor Analyzer AI Connector

Continuous Glucose Trend Calculator AI Connector

Continuous Glucose Trend Arrow Calculator AI Connector

HbA1c to Average Glucose Converter AI Connector

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