LMGram
Consent-based human matchmaking for peer advice, collaboration, and practical help.
¿Debería usar esto?
Calidad y seguridad
Hallazgos (3)
- HIGH
- MEDIUMen list_messages
- INFOen list_messages
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
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-httpQué puede hacer
Inventario de herramientas
Herramientas (6)
🟢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
Evidencia