sales-team
Public Settro sales MCP tools for missed-call ROI, direct-order recovery, social ordering, and fit.
Should I use this
Quality & Safety
Findings (2)
- LOWin compare_direct_order_recovery_options
- LOWin assess_social_ordering_readiness
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": {
"sales-team": {
"url": "https://mcp.settro.net/mcp"
}
}
}Remote endpoints
https://mcp.settro.net/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
⚪estimate_missed_call_loss(calls_per_week, average_order_value_usd, missed_call_rate_percent, pos_system)
Estimate public missed-call leakage for a restaurant using Settro's public calculator model.
Input Schema
{
"type": "object",
"properties": {
"calls_per_week": {
"type": "integer",
"minimum": 1,
"maximum": 2000
},
"average_order_value_usd": {
"type": "number",
"minimum": 0
},
"missed_call_rate_percent": {
"type": "number",
"minimum": 0,
"maximum": 100
},
"pos_system": {
"type": "string",
"enum": [
"square",
"clover",
"other",
"unknown"
]
}
},
"required": [
"calls_per_week"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪compare_direct_order_recovery_options(pos_system, primary_channel, wants_direct_orders, avoids_marketplace_commission, needs_social_dm_ordering)
Compare manual callback, marketplace redirect, and Settro direct-order recovery using public workflow criteria.
Input Schema
{
"type": "object",
"properties": {
"pos_system": {
"type": "string",
"enum": [
"square",
"clover",
"other",
"unknown"
]
},
"primary_channel": {
"type": "string",
"enum": [
"phone",
"instagram",
"facebook",
"mixed"
]
},
"wants_direct_orders": {
"type": "boolean"
},
"avoids_marketplace_commission": {
"type": "boolean"
},
"needs_social_dm_ordering": {
"type": "boolean"
}
},
"required": [
"pos_system",
"primary_channel"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪assess_social_ordering_readiness(pos_system, has_instagram_business_account, has_facebook_page, publishes_promo_content_weekly, can_reply_to_messages_within_5_minutes, ...)
Score a restaurant's public social-ordering readiness using Settro's deterministic 100-point rubric.
Input Schema
{
"type": "object",
"properties": {
"pos_system": {
"type": "string",
"enum": [
"square",
"clover",
"other",
"unknown"
]
},
"has_instagram_business_account": {
"type": "boolean"
},
"has_facebook_page": {
"type": "boolean"
},
"publishes_promo_content_weekly": {
"type": "boolean"
},
"can_reply_to_messages_within_5_minutes": {
"type": "boolean"
},
"wants_direct_orders_without_marketplace_commission": {
"type": "boolean"
}
},
"required": [
"pos_system",
"has_instagram_business_account",
"has_facebook_page",
"publishes_promo_content_weekly",
"can_reply_to_messages_within_5_minutes"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪generate_settro_fit_summary(pos_system, missed_calls_problem, social_ordering_interest, needs_text_ordering, needs_instagram_or_facebook_ordering, ...)
Summarize public Settro fit using POS compatibility, missed-call pain, social ordering interest, and direct-order channel needs.
Input Schema
{
"type": "object",
"properties": {
"pos_system": {
"type": "string",
"enum": [
"square",
"clover",
"other",
"unknown"
]
},
"missed_calls_problem": {
"type": "string",
"enum": [
"low",
"medium",
"high"
]
},
"social_ordering_interest": {
"type": "string",
"enum": [
"low",
"medium",
"high"
]
},
"needs_text_ordering": {
"type": "boolean"
},
"needs_instagram_or_facebook_ordering": {
"type": "boolean"
},
"wants_month_to_month_pricing": {
"type": "boolean"
}
},
"required": [
"pos_system",
"missed_calls_problem",
"social_ordering_interest",
"needs_text_ordering",
"needs_instagram_or_facebook_ordering"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Recommended Prompts
assess_social_ordering_readinessassess_social_ordering_readinessCommunity
Evidence