Oliver's mTOR Atlas

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

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
91%
Integridad del esquema
78%
Calidad de los nombres
96%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (2)

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

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,708Tokens (definiciones de herramientas)
~905 BTamaño de respuesta típico
Impacto moderado en la atención (1.33% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "mtor-atlas": {
      "command": "npx",
      "args": [
        "mtor-atlas-mcp"
      ]
    }
  }
}

Paquetes ejecutables

npmmtor-atlas-mcp1.2.1stdio

Puntos de conexión remotos

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

Qué puede hacer

Inventario de herramientas

Herramientas (11)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢atlas_about

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

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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?".

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

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

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada11 herramientas