MCP server

Infermedica MCP by usefulapi

io.usefulapi/infermedica

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Run Infermedica symptom checks, diagnosis, triage and condition lookups.

Website Source

At a glance

Type

MCP server

Publisher

usefulapi.io (verified by the MCP Registry)

Status

Working at last check

Tools

17

Token cost

About 6,075 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

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 infermedica https://infermedica.usefulapi.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.infermedica]
url = "https://infermedica.usefulapi.io/mcp"

Gemini CLI

{"mcpServers":{"infermedica":{"httpUrl":"https://infermedica.usefulapi.io/mcp"}}}

Cursor

{"mcpServers":{"infermedica":{"url":"https://infermedica.usefulapi.io/mcp"}}}

VS Code

{"servers":{"infermedica":{"type":"http","url":"https://infermedica.usefulapi.io/mcp"}}}

Antigravity

agy mcp add infermedica https://infermedica.usefulapi.io/mcp

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":"infermedica","server_url":"https://infermedica.usefulapi.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"infermedica","server_url":"https://infermedica.usefulapi.io/mcp"}

Tools

• infermedica_diagnosis ~507 tokens
  Run the diagnostic engine over the collected evidence — returns the next question to ask, ranked candidate conditions with probabilities, and a should_stop flag. Non-mutating computation. Engine API: POST /diagnosis.
• infermedica_explain ~504 tokens
  Explain which evidence supports or conflicts with a given target condition, for the collected evidence. Non-mutating computation. Engine API: POST /explain.
• infermedica_get_condition ~248 tokens
  Get a single condition by its id. Engine API: GET /conditions/{id}.
• infermedica_get_info ~234 tokens
  Get metadata about the current Infermedica medical model (version, last update, concept counts). Engine API: GET /info.
• infermedica_get_lab_test ~246 tokens
  Get a single lab test by its id. Engine API: GET /lab_tests/{id}.
• infermedica_get_risk_factor ~250 tokens
  Get a single risk factor by its id. Engine API: GET /risk_factors/{id}.
• infermedica_get_symptom ~245 tokens
  Get a single symptom by its id. Engine API: GET /symptoms/{id}.
• infermedica_list_conditions ~228 tokens
  List all conditions (diseases) in the Infermedica medical model. Engine API: GET /conditions.
• infermedica_list_lab_tests ~230 tokens
  List all lab tests (and their results) in the Infermedica medical model. Engine API: GET /lab_tests.
• infermedica_list_risk_factors ~227 tokens
  List all risk factors in the Infermedica medical model. Engine API: GET /risk_factors.
• infermedica_list_symptoms ~275 tokens
  List all symptoms in the Infermedica medical model (optionally age-filtered). Engine API: GET /symptoms.
• infermedica_parse ~480 tokens
  Extract clinical mentions (symptoms / risk factors) and their states from free-text describing complaints, mapping them to Infermedica evidence ids (NLP). Non-mutating computation. Engine API: POST /parse.
• infermedica_rationale ~469 tokens
  Explain WHY the diagnostic engine wants to ask its next question, given the evidence. Non-mutating computation. Engine API: POST /rationale.
• infermedica_recommend_specialist ~511 tokens
  Recommend the most appropriate medical specialist and consultation channel for the collected evidence (accepts the same body as diagnosis/triage). Non-mutating computation. Engine API: POST /recommend_specialist.
• infermedica_search_concepts ~373 tokens
  Search the medical concept database for observations matching a phrase (autocomplete). Engine API: GET /search.
• infermedica_suggest ~558 tokens
  Suggest additional symptoms/observations the patient is likely to have, to speed up the interview. Non-mutating computation. Engine API: POST /suggest.
• infermedica_triage ~490 tokens
  Recommend a triage level (emergency_ambulance | emergency | consultation_24 | consultation | self_care) plus any serious/emergency observations, given the evidence. Non-mutating computation. Engine API: POST /triage.

Browse

• Website monitoring
• Hiring and jobs
• Databases
• Health and medicine

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