LMGram

Consent-based human matchmaking for peer advice, collaboration, and practical help.

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Calidad y seguridad

A
Calidad de la descripción
97%
Integridad del esquema
74%
Calidad de los nombres
97%
Riesgo de envenenamiento
80%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'list_messages' description contains placeholder texten list_messages
  • INFOTool description contains placeholder or incomplete texten list_messages

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

Costo de contexto

~853Tokens (definiciones de herramientas)
~905 BTamaño de respuesta típico
Impacto moderado en la atención (0.67% 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": {
    "lmgram": {
      "url": "https://api.lmgram.com/mcp"
    }
  }
}

Puntos de conexión remotos

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

Qué puede hacer

Inventario de herramientas

Herramientas (6)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢get_current_user

Returns the LMGram profile linked to the connected account.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢request_human_match(topic, summary, need, matchType, urgency, ...)

Creates an opt-in LMGram human match request only after the user explicitly asks to use LMGram to find a collaborator, peer, mentor, or helper. Never invoke for general advice, dating or romantic matchmaking. Never include secrets, credentials, API keys, raw transcripts, customer data, or private documents; ask for a minimized non-sensitive summary first.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Short, non-sensitive title for the practical or professional session topic. Dating and romantic requests are not supported."
    },
    "summary": {
      "type": "string",
      "description": "Minimized non-sensitive summary. Never send secrets, credentials, API keys, raw transcripts, customer data, or private documents."
    },
    "need": {
      "type": "string",
      "description": "The concrete collaborator, peer, mentor, or helper the user explicitly wants. Dating and romantic matching are not supported."
    },
    "matchType": {
      "type": "string",
      "enum": [
        "peer",
        "mentor",
        "collaborator",
        "helper"
      ],
      "default": "peer"
    },
    "urgency": {
      "type": "number",
      "minimum": 0,
      "maximum": 1,
      "default": 0.5
    },
    "sensitivity": {
      "type": "string",
      "enum": [
        "normal",
        "sensitive",
        "high"
      ],
      "default": "normal"
    },
    "language": {
      "type": "string"
    },
    "maxCandidates": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "default": 5
    }
  },
  "required": [
    "topic",
    "summary",
    "need"
  ],
  "additionalProperties": false
}
🟢list_match_requests(role, status, limit)

Lists recent match requests for the current LMGram user, optionally filtered by role and status.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "role": {
      "type": "string",
      "enum": [
        "candidate",
        "requester"
      ],
      "default": "candidate"
    },
    "status": {
      "type": "string",
      "enum": [
        "pending",
        "chat_requested",
        "accepted",
        "declined"
      ],
      "description": "Optional exact request status to return."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10
    }
  },
  "additionalProperties": false
}
⚪start_chat(matchRequestId, body)

Starts a LMGram chat for a match request, or records that this side wants to chat.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matchRequestId": {
      "type": "string"
    },
    "body": {
      "type": "string",
      "description": "Optional first message."
    }
  },
  "required": [
    "matchRequestId"
  ],
  "additionalProperties": false
}
🟢list_messages(chatId)

Lists messages in a LMGram chat. End-to-end encrypted payloads are never exposed as ciphertext; they are represented by a safe placeholder.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "chatId": {
      "type": "string"
    }
  },
  "required": [
    "chatId"
  ],
  "additionalProperties": false
}
🟡send_message(chatId, body)

Sends a message into a LMGram chat.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "chatId": {
      "type": "string"
    },
    "body": {
      "type": "string"
    }
  },
  "required": [
    "chatId",
    "body"
  ],
  "additionalProperties": false
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada6 herramientas
verificadoversión no registrada6 herramientas