MCP server

The Gastrologer — GI clinical tools for agents Official

com.thegastrologer/clinical

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

Physician-governed GI tools: claim verification, teaching retrieval, HRM and instrument scoring

At a glance

Type

MCP server

Publisher

thegastrologer.com (verified by the MCP Registry)

Status

Working at last check

Tools

16

Token cost

About 2,212 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 clinical https://thegastrologer.com/api/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.clinical]
url = "https://thegastrologer.com/api/mcp"

Gemini CLI

{"mcpServers":{"clinical":{"httpUrl":"https://thegastrologer.com/api/mcp"}}}

Cursor

{"mcpServers":{"clinical":{"url":"https://thegastrologer.com/api/mcp"}}}

VS Code

{"servers":{"clinical":{"type":"http","url":"https://thegastrologer.com/api/mcp"}}}

Antigravity

agy mcp add clinical https://thegastrologer.com/api/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":"clinical","server_url":"https://thegastrologer.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"clinical","server_url":"https://thegastrologer.com/api/mcp"}

Tools

• check_gi_claim ~128 tokens
  Fact-check pasted text (a social post, caption, or sentence): canonical wording or its full explicit negation can receive a scoped governed verdict; other matches return unresolved reviewed candidates with evidence. No video retrieval or individual medical advice.
• classify_hrm_metrics ~270 tokens
  Legacy HRM operation quarantined after rule discrepancies were reproduced against reviewed teaching. Returns needs_review without classification. Do not invoke to obtain a diagnosis; this compatibility name is omitted from new plugin products.
• get_claims ~74 tokens
  Get the claim ledger (claim → evidence rows) for a module, when published.
• get_corpus_state ~79 tokens
  The current GASTROLOGER_CLINICAL_STATE: version, corpus/section/module Merkle roots, counts and hash scheme — pin an answer to an exact knowledge state.
• get_evidence_bundle ~206 tokens
  Resolve up to 10 claims (by claim_ids or free-text query) into an evidence bundle: statements, verdicts, review dates, evidence pointers, canonical URLs, clinical-state pin. Optional locale (BCP-47) reports human-localized module availability; canonical identifiers are language-independent. Bulk exp
• get_evidence_log ~47 tokens
  Dated evidence-review log for all modules.
• get_gi_verification ~95 tokens
  Get one canonical verification record (statement, verdict, review date, evidence module, machine URLs) by its slug or claim id.
• list_modules ~63 tokens
  List every clinician teaching module and patient chapter: title, canonical URL, evidence-review date.
• query_relations ~289 tokens
  Query the evidence-backed clinical relationship graph (subject–predicate–object triples over diseases, medications, tests, findings, guidelines). Every relation cites governed claim IDs and/or evidence registry IDs. Filter by node text (subject/object), predicate (treated_by, evaluated_by, contraind
• read_module ~82 tokens
  Read ONE module's full teaching text (markdown) with required citation. Not for bulk corpus assembly.
• resolve_ask ~196 tokens
  Route a free-text GI ask to the Gastrologer object that owns it: a governed claim, teaching module, instrument (IBS-SSS/GERD-Q), atlas region, prep-timeline workflow, or relationship. Returns a confidence-ordered routing decision (resolved | ambiguous | needs_review) with canonical URLs — it routes,
• resolve_gi_claim ~114 tokens
  Resolve one supplied proposition against governed claims. Only preserved canonical wording or its full explicit negation is certified; lexical candidates and changed qualifiers remain unresolved. Does not search external evidence.
• score_clinical_instrument ~231 tokens
  Score a governed clinical instrument from structured responses: IBS-SSS (ibs-sss, 5 slider items 0-100 + days×10, total 0-500) and GERD-Q (gerd-q, 6 choice items, total 0-18, ≥8 consistent with GERD). Returns total, percent of max, band label + interpretation, and the instrument citation. Every item
• search_gi_verifications ~96 tokens
  Search canonical GI fact-check verifications by free text; returns matching governed claims with canonical /verify/ URLs.
• search_teaching ~102 tokens
  Search clinician teaching modules AND patient chapters by free-text query (title, description, and body text); returns matching modules with snippets.
• verify_claim_hash ~140 tokens
  Verify one clinical claim against the published corpus root via its Merkle inclusion proof (optionally against a bundle_hash you hold). Returns the claim content only when it is physician-activated or clinician-adjudicated.

Browse

• Website monitoring
• Converting to Markdown
• Health and medicine

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