mediora-mcp
Doctor-reviewed blood-test markers, conditions & symptoms as agent tools. EN/RU/HE. Hosted.
Should I use this
Quality & Safety
Findings (1)
- LOWin mediora__explain_condition
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mediora-mcp": {
"url": "https://mcp.mediora.ai/mcp"
}
}
}Remote endpoints
https://mcp.mediora.ai/mcpstreamable-httpWhat it can do
Tool inventory
Tools (14)
🟢mediora__list_markers(lang)
List every blood-test marker in the Mediora catalog. Returns slug + short name per entry. Use mediora__explain_marker for the full explainer.
Input Schema
{
"type": "object",
"properties": {
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language code. Defaults to 'en'."
}
},
"additionalProperties": false
}🟢mediora__explain_marker(slug, lang)
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, the conditions typically associated with it, and - where habits genuinely move the number - what can be done about a high or low result. Those action fields are empty when the value follows an underlying cause rather than lifestyle, which is itself the answer.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Mediora canonical slug (e.g. 'hba1c', 'ferritin'). Use mediora__list_markers / mediora__list_conditions to discover slugs."
},
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language code. Defaults to 'en'."
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢mediora__list_conditions(lang)
List every clinical condition in the Mediora catalog. Returns slug + name + ICD-10 code per entry. Use mediora__explain_condition for the full explainer.
Input Schema
{
"type": "object",
"properties": {
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language code. Defaults to 'en'."
}
},
"additionalProperties": false
}🟢mediora__explain_condition(slug, lang)
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 patient should seek clinical evaluation.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Mediora canonical slug (e.g. 'hba1c', 'ferritin'). Use mediora__list_markers / mediora__list_conditions to discover slugs."
},
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language code. Defaults to 'en'."
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢mediora__lookup_marker(query, lang)
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") and needs to find the canonical Mediora slug.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free-text marker name in EN/RU/HE; e.g. 'A1C', 'гликированный', 'TSH', 'ויטמין D'."
},
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Preferred language for returned names. Defaults to 'en'."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢mediora__list_symptoms(lang)
List every patient-side symptom in the Mediora catalog (fatigue, joint pain, headache, etc.). Returns slug + short name. Use mediora__explain_symptom for the full triage-oriented explainer including the lab work-up a clinician would order.
Input Schema
{
"type": "object",
"properties": {
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language code. Defaults to 'en'."
}
},
"additionalProperties": false
}🟢mediora__explain_symptom(slug, lang)
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 when the patient should seek urgent evaluation. The related marker and condition slug arrays let the upstream LLM follow the graph into mediora__explain_marker / explain_condition.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Mediora canonical slug (e.g. 'hba1c', 'ferritin'). Use mediora__list_markers / mediora__list_conditions to discover slugs."
},
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language code. Defaults to 'en'."
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢mediora__list_panels
List every lab panel in the Mediora catalog (CBC, lipid, comprehensive metabolic, thyroid, iron, liver, kidney, diabetes, vitamin, inflammation, hormone, bone, cardiac, electrolyte, adrenal, PSA/prostate). Returns slug + name + marker count. Use mediora__explain_panel for the markers a panel contains.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢mediora__explain_panel(slug, lang)
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/FBC, CMP, LFT, TFT, renal panel, …). Answers "what's included in a CBC / lipid panel / CMP". Follow each marker into mediora__explain_marker for full detail.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Panel slug (e.g. 'complete-blood-count', 'lipid-panel', 'comprehensive-metabolic-panel'). Use mediora__list_panels to discover slugs."
},
"lang": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Language for the marker names/summaries. Defaults to 'en'."
}
},
"required": [
"slug"
],
"additionalProperties": false
}⚪mediora__whoami(bearer_token)
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 tools. The token is obtained by going through the standard Mediora.AI login at https://www.mediora.ai — the same JWT the browser stores in localStorage as 'auth_token'.
Input Schema
{
"type": "object",
"properties": {
"bearer_token": {
"type": "string",
"description": "Mediora.AI patient JWT. Get it by signing in at https://www.mediora.ai then copying localStorage.auth_token from DevTools, OR pass-through from a desktop client that stores Mediora credentials."
}
},
"required": [
"bearer_token"
],
"additionalProperties": false
}🟡mediora__analyze_lab_pdf(bearer_token, file_url, language)
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 must be https, must resolve to a public IP (no localhost / cloud-metadata / private LAN), and the file must be PDF / JPEG / PNG ≤ 10 MB. Redirects are not followed — pass the final URL.
Input Schema
{
"type": "object",
"properties": {
"bearer_token": {
"type": "string",
"description": "Mediora.AI patient JWT (see mediora__whoami)."
},
"file_url": {
"type": "string",
"description": "Public HTTPS URL of the lab-report PDF to analyze.",
"format": "uri"
},
"language": {
"type": "string",
"enum": [
"en",
"ru",
"he"
],
"description": "Preferred language for the analysis output. Defaults to 'en'."
}
},
"required": [
"bearer_token",
"file_url"
],
"additionalProperties": false
}🟢mediora__get_patient_history(bearer_token, page, page_size)
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 patient-scope JWT. Paginated; default 10 per page. Proxies https://api.mediora.ai/api/medical-tests with the user's token forwarded as Authorization: Bearer.
Input Schema
{
"type": "object",
"properties": {
"bearer_token": {
"type": "string",
"description": "Mediora.AI patient JWT (see mediora__whoami)."
},
"page": {
"type": "integer",
"minimum": 1,
"description": "1-based page number. Defaults to 1."
},
"page_size": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"description": "Items per page. Defaults to 10, max 50."
}
},
"required": [
"bearer_token"
],
"additionalProperties": false
}🟢mediora__get_test_details(bearer_token, test_id)
Return the persisted markers + AI analysis (Summary, KeyFindings, Recommendations, DetailedExplanation) for a specific medical-test the authenticated patient owns. Use after mediora__get_patient_history surfaces a test id the user wants to discuss. Bearer token must be a Mediora patient-scope JWT. Proxies https://api.mediora.ai/api/medical-tests/{id} with the user's token forwarded as Authorization: Bearer.
Input Schema
{
"type": "object",
"properties": {
"bearer_token": {
"type": "string",
"description": "Mediora.AI patient JWT (see mediora__whoami)."
},
"test_id": {
"type": "integer",
"minimum": 1,
"description": "Numeric medical-test id (returned by mediora__get_patient_history as `id`)."
}
},
"required": [
"bearer_token",
"test_id"
],
"additionalProperties": false
}⚪mediora__longitudinal_trend(bearer_token)
Return the per-marker trajectory analyser output for the authenticated patient — HbA1c rising, eGFR falling, ferritin depleting, etc. Each finding includes the marker slug, kind, severity (Info / Notice / Important), trend per year, sample count, date range and a supportive headline + detail. Proxies https://api.mediora.ai/api/trajectory/warnings with the user's token forwarded as Authorization: Bearer.
Input Schema
{
"type": "object",
"properties": {
"bearer_token": {
"type": "string",
"description": "Mediora.AI patient JWT. Get it by signing in at https://www.mediora.ai then copying localStorage.auth_token from DevTools, OR pass-through from a desktop client that stores Mediora credentials."
}
},
"required": [
"bearer_token"
],
"additionalProperties": false
}Community
Evidence