Parsley - Buyer Intent Signals
Query buyer intent signals, MEDDIC qualifications, and lead scores from Parsley.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"parsley-mcp": {
"command": "npx",
"args": [
"@tryparsley/mcp-server"
]
}
}
}Runnable packages
0.1.2stdioRemote endpoints
https://www.parsley.id/api/mcpstreamable-httpWhat it can do
Tool inventory
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.
Input 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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_conversation_detail(conversation_id, client)
Get full details of a single conversation: MEDDIC signals, engagement metrics, enrichment data, and any owner-configured discovery field values captured during the chat (e.g. company size, current tooling, hiring status).
Input Schema
{
"type": "object",
"properties": {
"conversation_id": {
"type": "string"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"required": [
"conversation_id"
],
"$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.
Input 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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_analytics_summary(days, client)
Dashboard-level overview: views, conversations, lead counts, conversion rate.
Input Schema
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$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.
Input 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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_knowledge_gaps(days, topic, limit, client)
Surface unanswered questions from chatbot conversations, grouped by topic.
Input Schema
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"topic": {
"type": "string"
},
"limit": {
"default": 20,
"type": "number",
"minimum": 1,
"maximum": 50
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$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.
Input 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"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_meddic_summary(days, client)
Aggregate MEDDIC signal distribution across all conversations.
Input Schema
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence