The Gastrologer — GI clinical tools for agents

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
70%
Qualität der Benennung
96%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~2,023Tokens (Tool-Definitionen)
~584 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.58% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

https://thegastrologer.com/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (15)

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🟢list_modules

List every clinician teaching module and patient chapter: title, canonical URL, evidence-review date.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢search_teaching(query, limit)

Search clinician teaching modules AND patient chapters by free-text query (title, description, and body text); returns matching modules with snippets.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "maximum": 10
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢read_module(slug)

Read ONE module's full teaching text (markdown) with required citation. Not for bulk corpus assembly.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9-]+$"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢get_claims(slug)

Get the claim ledger (claim → evidence rows) for a module, when published.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9-]+$"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢get_evidence_log

Dated evidence-review log for all modules.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_corpus_state

The current GASTROLOGER_CLINICAL_STATE: version, corpus/section/module Merkle roots, counts and hash scheme — pin an answer to an exact knowledge state.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢verify_claim_hash(claim_id, bundle_hash)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "claim_id": {
      "type": "string",
      "pattern": "^[A-Za-z0-9-]{3,40}$"
    },
    "bundle_hash": {
      "type": "string",
      "pattern": "^[0-9a-f]{64}$"
    }
  },
  "required": [
    "claim_id"
  ],
  "additionalProperties": false
}
🟢check_gi_claim(text)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "maxLength": 2000
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}
🟢resolve_gi_claim(claim)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "claim": {
      "type": "string"
    }
  },
  "required": [
    "claim"
  ],
  "additionalProperties": false
}
🟢search_gi_verifications(query, limit)

Search canonical GI fact-check verifications by free text; returns matching governed claims with canonical /verify/ URLs.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "maximum": 10
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_gi_verification(slug)

Get one canonical verification record (statement, verdict, review date, evidence module, machine URLs) by its slug or claim id.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[A-Za-z0-9-]{3,110}$"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢get_evidence_bundle(claim_ids, query, locale)

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 export beyond 10 claims is the paid tier (x402) at /api/premium/evidence-pack.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "claim_ids": {
      "type": "array",
      "items": {
        "type": "string",
        "pattern": "^[A-Za-z0-9-]{3,40}$"
      },
      "maxItems": 10
    },
    "query": {
      "type": "string",
      "maxLength": 500
    },
    "locale": {
      "type": "string",
      "pattern": "^[a-zA-Z]{2,3}(-[A-Za-z0-9]{2,8})*$"
    }
  },
  "additionalProperties": false
}
🟢classify_hrm_metrics(metrics, manufacturer, position, provocative, secondary_testing)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "metrics": {
      "type": "object",
      "properties": {
        "irp_mmhg": {
          "type": "number"
        },
        "dci_mmhg_cm_s": {
          "type": "number"
        },
        "dl_s": {
          "type": "number"
        },
        "pct_failed": {
          "type": "number"
        },
        "pct_panesophageal": {
          "type": "number"
        },
        "pct_premature": {
          "type": "number"
        },
        "pct_hypercontractile": {
          "type": "number"
        },
        "pct_weak": {
          "type": "number"
        },
        "pct_fragmented": {
          "type": "number"
        }
      }
    },
    "manufacturer": {
      "type": "string",
      "enum": [
        "Medtronic",
        "Laborie",
        "Diversatek",
        "Unknown"
      ]
    },
    "position": {
      "type": "string",
      "enum": [
        "supine",
        "upright"
      ]
    },
    "provocative": {
      "type": "object"
    },
    "secondary_testing": {
      "type": "object"
    }
  },
  "required": [
    "metrics"
  ],
  "additionalProperties": false
}
🟢score_clinical_instrument(instrument, responses)

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 is required; invalid/missing responses are rejected without defaulting or clamping. Educational scoring — not a diagnosis. Also POST /api/tools/score-instrument.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "instrument": {
      "type": "string",
      "enum": [
        "ibs-sss",
        "gerd-q"
      ]
    },
    "responses": {
      "type": "object",
      "description": "item_id → numeric value (see instrument spec at /tools/instruments.json)"
    }
  },
  "required": [
    "instrument",
    "responses"
  ],
  "additionalProperties": false
}
🟢query_relations(node, predicate, kind, claim_id, limit)

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, contraindicated_by, increases_risk_of, reduces_risk_of, causes, associated_with, suggests, argues_against, complicated_by, recommended_by, supported_by, conflicts_with, supersedes, requires_context_of), kind, or a claim_id. Also GET /api/tools/relations.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "node": {
      "type": "string",
      "description": "substring match against subject_id/object_id"
    },
    "predicate": {
      "type": "string"
    },
    "kind": {
      "type": "string",
      "description": "filter subject_kind or object_kind (disease, medication, test, finding, guideline, risk_factor, mechanism, intervention)"
    },
    "claim_id": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "maximum": 25
    }
  },
  "additionalProperties": false
}

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