Parsley - Buyer Intent Signals
Query buyer intent signals, MEDDIC qualifications, and lead scores from Parsley.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"parsley-mcp": {
"command": "npx",
"args": [
"@tryparsley/mcp-server"
]
}
}
}Ausführbare Pakete
0.1.2stdioRemote-Endpunkte
https://www.parsley.id/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (8)
🟢get_conversations(days, lead_quality, intent_signal, limit, client)
List recent chatbot conversations with filtering by lead quality, intent signal, and date range.
Eingabe-Schema
{
"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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_conversation_detail(conversation_id, client)
Get full details of a single conversation: MEDDIC signals, engagement metrics, enrichment data, and any owner-configured discovery field values captured during the chat (e.g. company size, current tooling, hiring status).
Eingabe-Schema
{
"type": "object",
"properties": {
"conversation_id": {
"type": "string"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"required": [
"conversation_id"
],
"$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.
Eingabe-Schema
{
"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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_analytics_summary(days, client)
Dashboard-level overview: views, conversations, lead counts, conversion rate.
Eingabe-Schema
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$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.
Eingabe-Schema
{
"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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_knowledge_gaps(days, topic, limit, client)
Surface unanswered questions from chatbot conversations, grouped by topic.
Eingabe-Schema
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"topic": {
"type": "string"
},
"limit": {
"default": 20,
"type": "number",
"minimum": 1,
"maximum": 50
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$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.
Eingabe-Schema
{
"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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_meddic_summary(days, client)
Aggregate MEDDIC signal distribution across all conversations.
Eingabe-Schema
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Nachweis