Oliver's mTOR Atlas

Evidence-labelled mTOR research: studies, entities, pathway claims, contradictions, open questions.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
91%
Vollständigkeit des Schemas
78%
Qualität der Benennung
96%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • LOWTool 'get_relation' description lacks action verbin get_relation
  • LOWTool 'evidence_between' description lacks action verbin evidence_between

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

Kontextkosten

~1,708Tokens (Tool-Definitionen)
~905 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.33% 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": {
    "mtor-atlas": {
      "command": "npx",
      "args": [
        "mtor-atlas-mcp"
      ]
    }
  }
}

Ausführbare Pakete

npmmtor-atlas-mcp1.2.1stdio

Remote-Endpunkte

https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (11)

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🟢atlas_about

Dataset version, corpus snapshot date, counts, evidence-code legend and how to cite the dataset.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢search_studies(query, evidence_code, entity, year_from, year_to, ...)

Search the curated studies by keywords (title, finding, authors, journal, model system), optionally filtered by evidence code, a linked entity (gene, drug, disease...) and year range. Returns summary records with evidence codes and URLs.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Keywords, e.g. \"rapamycin lifespan mice\". Omit to list by filters only.",
      "type": "string"
    },
    "evidence_code": {
      "description": "Keep only these evidence codes, e.g. [\"H\",\"S\"] for human evidence.",
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "S",
          "H",
          "A",
          "M",
          "R",
          "PP",
          "RT"
        ]
      }
    },
    "entity": {
      "description": "Only studies linked to this entity (name, synonym or id), e.g. \"Rheb\".",
      "type": "string"
    },
    "year_from": {
      "type": "integer",
      "minimum": -9007199254740991,
      "maximum": 9007199254740991
    },
    "year_to": {
      "type": "integer",
      "minimum": -9007199254740991,
      "maximum": 9007199254740991
    },
    "limit": {
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "offset": {
      "default": 0,
      "description": "For the next page: pass next_offset from the previous answer.",
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_study(sid)

Full record for one study by Atlas ID (e.g. "SAB1994"): abstract excerpt, extracted findings, linked entities, the relations it supports or contradicts, related open questions.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sid": {
      "type": "string",
      "description": "Atlas study ID, e.g. \"SAB1994\""
    }
  },
  "required": [
    "sid"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_entities(query, type, limit)

Find genes/proteins, complexes, drugs, diseases, processes, nutrients and outcomes by name or synonym.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Name or synonym, e.g. \"raptor\", \"sirolimus\""
    },
    "type": {
      "description": "Optional type filter, e.g. \"Drug\", \"Gene/Protein\", \"Disease\"",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_entity(entity, studies_limit)

One entity (gene/protein, complex, drug, disease, process...) with its linked studies as short cards (first studies_limit) and every pathway relation it takes part in as a one-line claim. Accepts an id, a name or a synonym.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "e.g. \"mTORC1\", \"Rheb\", \"rapamycin\""
    },
    "studies_limit": {
      "default": 25,
      "type": "integer",
      "minimum": 0,
      "maximum": 50
    }
  },
  "required": [
    "entity"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢find_relations(entity, source, target, effect, contested_only, ...)

Signed, evidence-linked pathway relations (claims such as "Rheb activates mTORC1"). Filter by an entity on either end, by source/target, effect, contested status or minimum strength of the best supporting evidence.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "description": "Entity on either end of the relation",
      "type": "string"
    },
    "source": {
      "type": "string"
    },
    "target": {
      "type": "string"
    },
    "effect": {
      "type": "string",
      "enum": [
        "activates",
        "inhibits",
        "binds",
        "recruits",
        "required-for",
        "context-dependent",
        "no-effect"
      ]
    },
    "contested_only": {
      "description": "Only relations marked contested or with conflicting studies",
      "type": "boolean"
    },
    "strongest_at_least": {
      "description": "Keep relations whose best supporting study is at least this code in the order S > H > A > M",
      "type": "string",
      "enum": [
        "S",
        "H",
        "A",
        "M",
        "R",
        "PP",
        "RT"
      ]
    },
    "limit": {
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "offset": {
      "default": 0,
      "description": "For the next page: pass next_offset from the previous answer.",
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_relation(id)

One pathway relation by ID (e.g. "RHEB-MTORC1"): mechanism, boundary conditions, confidence, supporting and conflicting studies.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢evidence_between(a, b)

Direct curated relations between two entities (either direction) with full cards for the supporting and conflicting studies. Answers questions such as "what is the evidence that A acts on B?".

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "a": {
      "type": "string"
    },
    "b": {
      "type": "string"
    }
  },
  "required": [
    "a",
    "b"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢find_contradictions(entity, limit)

Relations the Atlas marks as contested or that carry conflicting studies, with both sides of the evidence. Optionally limited to one entity.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string"
    },
    "limit": {
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_questions(kind)

The Atlas's open questions (evidence gaps with testable hypotheses) and frontier questions.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "kind": {
      "type": "string",
      "enum": [
        "open-question",
        "frontier"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_question(id)

One open or frontier question by ID (e.g. "H1", "F2"): the gap, what changed, what is still open, how it could be tested, linked studies.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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