ServicePal MCP Server
AI phone answering tools for service businesses — ROI, missed calls, demos across 18 industries
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": {
"mcp": {
"url": "https://servicepal.cloud/mcp/"
}
}
}Remote-Endpunkte
https://servicepal.cloud/mcp/streamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢calculate_missed_calls(industry, hours_per_day, days_per_week, busy_season)
Calculate how many calls a business misses per week based on industry, operating hours, and season.
Eingabe-Schema
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"description": "Industry key (e.g. plumbing, hvac, electrical, roofing, dental, legal, veterinary, property_management)"
},
"hours_per_day": {
"type": "number",
"description": "Operating hours per day (1-24)"
},
"days_per_week": {
"type": "number",
"description": "Operating days per week (1-7)"
},
"busy_season": {
"type": "boolean",
"description": "Whether it is peak/busy season"
}
},
"required": [
"industry"
]
}⚪estimate_revenue_loss(industry, missed_calls_per_week, average_job_value)
Estimate revenue lost from missed calls based on industry, call volume, and job value.
Eingabe-Schema
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"description": "Industry key"
},
"missed_calls_per_week": {
"type": "number",
"description": "Number of missed calls per week"
},
"average_job_value": {
"type": "number",
"description": "Average job value in dollars"
}
},
"required": [
"industry",
"missed_calls_per_week"
]
}⚪compare_solutions(business_type, calls_per_day)
Compare AI answering service vs human receptionist for a business type and call volume.
Eingabe-Schema
{
"type": "object",
"properties": {
"business_type": {
"type": "string",
"description": "Industry key for the business"
},
"calls_per_day": {
"type": "number",
"description": "Average calls received per day"
}
},
"required": [
"business_type",
"calls_per_day"
]
}⚪generate_custom_demo(business_name, industry, phone_number, email, brand_name, ...)
Generate a white-labeled AI phone answering demo page for a business. Creates a personalized demo URL.
Eingabe-Schema
{
"type": "object",
"properties": {
"business_name": {
"type": "string",
"description": "Name of the business"
},
"industry": {
"type": "string",
"description": "Industry key"
},
"phone_number": {
"type": "string",
"description": "Phone number to display on demo"
},
"email": {
"type": "string",
"description": "Contact email (also captures lead)"
},
"brand_name": {
"type": "string",
"description": "Custom brand name for white-label"
},
"brand_logo_url": {
"type": "string",
"description": "URL to brand logo image"
},
"brand_color": {
"type": "string",
"description": "Brand hex color (e.g. #0066FF)"
},
"brand_url": {
"type": "string",
"description": "Brand website URL for CTA"
}
},
"required": [
"business_name",
"industry",
"phone_number"
]
}🟢get_industry_use_case(industry)
Get detailed use case information for a specific industry including common scenarios and pain points.
Eingabe-Schema
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"description": "Industry key"
}
},
"required": [
"industry"
]
}Empfohlene Prompts
get_industry_use_caseget_industry_use_caseCommunity
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