# Slatech Il Mediora MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.slatech-il%2Fmediora-mcp
Registry id: `mcp-registry/io.github.slatech-il/mediora-mcp`
Status: live (checked 2026-10-27T09:04:24.350Z)

## Verdict

Slatech Il Mediora MCP server answered 99.57% of Glimind's liveness checks over 30 days, better than 17% of MCP servers, with 1011 ms median handshake and 18 outages in 90 days. Its agent-readiness grade is A (93/100) across 14 tools, costing an agent about 2,546 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.57% | 17% of MCP servers |
| Median handshake latency | 1011 ms | 17% of MCP servers |
| p95 handshake latency | 3274 ms | — |
| Checks in 30 days | 4,710 | — |
| Outages, 90 days | 18 | — |
| Median recovery | 7 min | — |
| Agent-readiness score | 93/100 (A) | 75% of MCP servers |
| Tools | 14 | — |
| Tool-list size for an agent | ~2,546 tokens | 49% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "slatech-il-mediora-mcp-server": {
      "type": "http",
      "url": "https://mcp.mediora.ai/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http slatech-il-mediora-mcp-server https://mcp.mediora.ai/mcp
```

## Tools (14)

- `mediora__analyze_lab_pdf`: Upload a lab-report PDF or scan (by HTTPS URL) and trigger Mediora.AI's full Vision + analysis pipeline. Returns a pending test id the client can poll. The URL 
- `mediora__explain_condition`: Return the full explainer for a clinical condition by slug. Includes: what the condition is, the key markers used in diagnosis, common symptoms, and when the pa
- `mediora__explain_marker`: Return the full explainer for a single blood-test marker by slug. Includes: what it measures, what high/low values mean, when the value is clinically actionable
- `mediora__explain_panel`: Return the markers that make up a lab panel by slug — each resolved to its Mediora marker slug, name and one-line summary — plus the panel's search aliases (CBC
- `mediora__explain_symptom`: Return the full triage explainer for a single symptom by slug. Includes: what the symptom means, common causes, the lab work-up a clinician would order, and whe
- `mediora__get_patient_history`: Return the patient's past medical-test rows (id, test type, test date, risk level, summary, status, abnormal-marker count). Bearer token must be a Mediora patie
- `mediora__get_test_details`: Return the persisted markers + AI analysis (Summary, KeyFindings, Recommendations, DetailedExplanation) for a specific medical-test the authenticated patient ow
- `mediora__list_conditions`: List every clinical condition in the Mediora catalog. Returns slug + name + ICD-10 code per entry. Use mediora__explain_condition for the full explainer.
- `mediora__list_markers`: List every blood-test marker in the Mediora catalog. Returns slug + short name per entry. Use mediora__explain_marker for the full explainer.
- `mediora__list_panels`: List every lab panel in the Mediora catalog (CBC, lipid, comprehensive metabolic, thyroid, iron, liver, kidney, diabetes, vitamin, inflammation, hormone, bone, 
- `mediora__list_symptoms`: List every patient-side symptom in the Mediora catalog (fatigue, joint pain, headache, etc.). Returns slug + short name. Use mediora__explain_symptom for the fu
- `mediora__longitudinal_trend`: Return the per-marker trajectory analyser output for the authenticated patient — HbA1c rising, eGFR falling, ferritin depleting, etc. Each finding includes the 
- `mediora__lookup_marker`: Fuzzy-search markers by alias across EN/RU/HE. Useful when the upstream LLM has the lab's local name (e.g. "гликированный гемоглобин", "המוגלובין מסוכרר", "A1C"
- `mediora__whoami`: Validate a Mediora.AI patient Bearer token and return the patient id + email it represents. Use this first to confirm the token before calling other auth-gated 

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.