# inou MCP Connector - Usage Examples

These examples demonstrate how Claude can help users explore their health data through the inou connector.

---

## Example 1: Brain MRI Analysis

**User prompt:**
> "I had a brain MRI last year. Can you look at it and tell me if anything looks concerning? I've been having headaches."

**Claude's approach:**

1. Lists the user's dossiers to find their health record
2. Lists imaging studies, identifies the brain MRI
3. Fetches the contact sheet to see all slices at a glance
4. Identifies relevant axial slices through the ventricles and key structures
5. Fetches full-resolution images of specific slices for detailed analysis
6. Provides observations about brain structures, symmetry, and any visible findings

**Sample interaction:**

```
Claude: I found your brain MRI from May 2024. Let me take a look at the axial
T2-weighted images, which are best for seeing brain tissue detail.

[Fetches contact sheet, then specific slices]

Looking at these images, I can see:
- The lateral ventricles appear symmetric and normal in size
- No midline shift is present
- The brain parenchyma shows normal signal intensity
- I don't see any obvious mass lesions or areas of abnormal enhancement

However, I want to be clear: I'm an AI assistant, not a radiologist. For
headaches, the MRI findings are just one piece of the puzzle. Your doctor
can correlate these images with your symptoms, medical history, and physical
exam for a complete picture.

Would you like me to look at any specific region more closely?
```

---

## Example 2: Lab Result Trends

**User prompt:**
> "Can you check my vitamin D and iron levels? I've been feeling tired lately."

**Claude's approach:**

1. Lists available lab tests for the user
2. Fetches vitamin D and iron panel results (ferritin, serum iron, TIBC)
3. Identifies trends over time if multiple results exist
4. Explains the values in context with reference ranges

**Sample interaction:**

```
Claude: I found your lab results. Here's what I see:

**Vitamin D (25-OH):**
- Jan 2024: 18 ng/mL (low - reference: 30-100)
- Jul 2024: 32 ng/mL (normal)
- Dec 2024: 24 ng/mL (insufficient)

Your vitamin D dropped again after summer, which is common in northern
latitudes. The insufficient level could contribute to fatigue.

**Ferritin:**
- Dec 2024: 45 ng/mL (normal range: 12-150)

**Serum Iron:**
- Dec 2024: 85 mcg/dL (normal range: 60-170)

Your iron stores look healthy. The fatigue is more likely related to your
vitamin D insufficiency. Many people benefit from supplementing with D3
during winter months - typically 1000-2000 IU daily, though your doctor
can recommend the right dose for you.

Want me to look at any other lab values?
```

---

## Example 3: Genetic Insights for Medication Response

**User prompt:**
> "I'm about to start an antidepressant. Can you check if I have any genetic factors that might affect how I respond to medications?"

**Claude's approach:**

1. Queries the genome data for pharmacogenomics-related variants
2. Looks specifically at CYP2D6, CYP2C19 (drug metabolism enzymes)
3. Checks for MTHFR variants that affect folate metabolism
4. Explains findings in practical terms

**Sample interaction:**

```
Claude: I found some relevant genetic variants in your data:

**CYP2D6 - Drug Metabolism:**
You have rs3892097 (CYP2D6*4) - one copy. This makes you an "intermediate
metabolizer" for many medications processed by CYP2D6, including some
antidepressants like:
- Fluoxetine (Prozac)
- Paroxetine (Paxil)
- Venlafaxine (Effexor)

This means you may process these medications more slowly than average. Your
doctor might start with a lower dose.

**CYP2C19:**
You have rs4244285 (CYP2C19*2) - one copy. This affects metabolism of:
- Citalopram (Celexa)
- Escitalopram (Lexapro)
- Sertraline (Zoloft)

Again, intermediate metabolism - not a problem, but good to know.

**MTHFR:**
You have rs1801133 (C677T) - heterozygous. This is very common and mildly
reduces folate processing. Some research suggests methylfolate supplementation
may support antidepressant response.

I'd recommend sharing these results with your prescribing doctor. This
information can help them choose the right medication and starting dose
for you.
```

---

## Example 4: Cross-Domain Health Analysis

**User prompt:**
> "I have MTHFR mutations. Can you look at my homocysteine levels and see if they correlate?"

**Claude's approach:**

1. Queries genome for MTHFR variants
2. Fetches homocysteine lab results
3. Correlates the genetic and lab findings
4. Provides context on the relationship

**Sample interaction:**

```
Claude: Let me pull together your genetic and lab data on this.

**MTHFR Genetic Status:**
- rs1801133 (C677T): T/T (homozygous) - reduces enzyme activity by ~70%
- rs1801131 (A1298C): A/C (heterozygous) - mild additional effect

This combination significantly reduces your MTHFR enzyme function.

**Homocysteine Lab Results:**
- Mar 2023: 14.2 umol/L (slightly elevated - reference: <10)
- Sep 2023: 11.8 umol/L (borderline)
- Mar 2024: 9.1 umol/L (normal)

I can see your levels have improved over time. This pattern is consistent
with what happens when people with MTHFR variants supplement with
methylfolate (active B9) and methylcobalamin (active B12), which bypass
the impaired enzyme.

The correlation here is clear: your genetic profile predicts higher
homocysteine risk, and your labs confirmed it until intervention brought
levels to normal.

Would you like me to check other B-vitamin levels that might be relevant?
```

---

## Example 5: Spine MRI Navigation

**User prompt:**
> "Can you look at my lumbar spine MRI? My doctor mentioned something about L4-L5."

**Claude's approach:**

1. Lists imaging studies, finds the spine MRI
2. Lists series to find sagittal and axial T2 sequences
3. Uses contact sheet to identify L4-L5 level
4. Fetches relevant slices at full resolution
5. Describes findings at the specific level

**Sample interaction:**

```
Claude: I found your lumbar spine MRI from October 2024. Let me look at
the L4-L5 level specifically.

[Fetches sagittal T2 for overview, then axial slices at L4-L5]

At the L4-L5 level, I can see:
- There's a disc bulge that extends posteriorly (toward the back)
- The bulge appears to contact the thecal sac (the fluid-filled sac
  containing the nerve roots)
- On the axial view, the bulge is slightly more prominent on the left side
- The neural foramina (nerve exit tunnels) appear mildly narrowed on the left

This pattern is consistent with a disc bulge that could potentially affect
the L5 nerve root, which can cause symptoms down the leg.

For comparison, your L3-L4 level above looks normal with good disc height
and no bulging.

Want me to look at any other levels, or compare the left and right sides
in more detail?
```

---

## Notes for Users

- Claude provides informational analysis, not medical diagnoses
- Always discuss findings with your healthcare provider
- Image quality and completeness affect analysis accuracy
- Genetic interpretations are based on current research, which evolves