MCP server
Mediora Lab Catalog Official
ai.mediora/mediora
Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools
Blood-test markers, lab panels, conditions & symptoms as agent tools. EN/RU/HE. Hosted.
Working at last checkVerified publisher: mediora.aiAbout 1,490 tokens per request once connected9 tools
https://mcp.mediora.ai/mcp/catalog
At a glance
- Type
- MCP server
- Publisher
- mediora.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 1,490 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 28 Oct 2026, 09:03 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mediora https://mcp.mediora.ai/mcp/catalog
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mediora] url = "https://mcp.mediora.ai/mcp/catalog"
Gemini CLI
{"mcpServers":{"mediora":{"httpUrl":"https://mcp.mediora.ai/mcp/catalog"}}}
Cursor
{"mcpServers":{"mediora":{"url":"https://mcp.mediora.ai/mcp/catalog"}}}
VS Code
{"servers":{"mediora":{"type":"http","url":"https://mcp.mediora.ai/mcp/catalog"}}}
Antigravity
agy mcp add mediora https://mcp.mediora.ai/mcp/catalog
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mediora","server_url":"https://mcp.mediora.ai/mcp/catalog","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mediora","server_url":"https://mcp.mediora.ai/mcp/catalog"}
Tools
mediora__explain_condition~175 tokens
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.mediora__explain_marker~238 tokens
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. Tmediora__explain_panel~219 tokens
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_markemediora__explain_symptom~214 tokens
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 medioramediora__list_conditions~109 tokens
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~105 tokens
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~123 tokens
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 containmediora__list_symptoms~133 tokens
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.mediora__lookup_marker~174 tokens
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.
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