Parsley - Buyer Intent Signals
Query buyer intent signals, MEDDIC qualifications, and lead scores from Parsley.
¿Debería usar esto?
Calidad y seguridad
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": {
"parsley-mcp": {
"command": "npx",
"args": [
"@tryparsley/mcp-server"
]
}
}
}Paquetes ejecutables
0.1.2stdioPuntos de conexión remotos
https://www.parsley.id/api/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (8)
🟢get_conversations(days, lead_quality, intent_signal, limit, client)
List recent chatbot conversations with filtering by lead quality, intent signal, and date range.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"lead_quality": {
"type": "string",
"enum": [
"hot",
"warm",
"cold"
]
},
"intent_signal": {
"type": "string",
"enum": [
"high_intent",
"evaluation",
"research",
"support"
]
},
"limit": {
"default": 20,
"type": "number",
"minimum": 1,
"maximum": 50
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_conversation_detail(conversation_id, client)
Get full details of a single conversation: MEDDIC signals, engagement metrics, enrichment data, and any owner-configured discovery field values captured during the chat (e.g. company size, current tooling, hiring status).
Esquema de entrada
{
"type": "object",
"properties": {
"conversation_id": {
"type": "string"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"required": [
"conversation_id"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_hot_leads(days, include_warm, client)
Get all hot and warm leads with MEDDIC evidence. The morning briefing tool.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"default": 7,
"type": "number",
"minimum": 1,
"maximum": 365
},
"include_warm": {
"default": true,
"type": "boolean"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_analytics_summary(days, client)
Dashboard-level overview: views, conversations, lead counts, conversion rate.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_by_intent(meddic_signals, min_intent_score, topic, days, client)
Find conversations matching specific MEDDIC signals, intent score, or topic.
Esquema de entrada
{
"type": "object",
"properties": {
"meddic_signals": {
"type": "array",
"items": {
"type": "string",
"enum": [
"metrics",
"economic_buyer",
"decision_criteria",
"decision_process",
"identify_pain",
"champion"
]
}
},
"min_intent_score": {
"type": "number",
"minimum": 1,
"maximum": 5
},
"topic": {
"type": "string"
},
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_knowledge_gaps(days, topic, limit, client)
Surface unanswered questions from chatbot conversations, grouped by topic.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"topic": {
"type": "string"
},
"limit": {
"default": 20,
"type": "number",
"minimum": 1,
"maximum": 50
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_lead_enrichment(days, has_company, client)
Get extracted company, role, timeline, and budget context from conversations.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"has_company": {
"default": false,
"type": "boolean"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_meddic_summary(days, client)
Aggregate MEDDIC signal distribution across all conversations.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Comunidad
Evidencia