Servana
ai.servana/servanaSearch and message local service vendors (cleaning, med spa, yoga, personal training) by city.
Score: 100/100
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Tools · 8
Use this when the user describes a local service they want done in person (e.g. 'someone to fold my laundry', 'deep clean my apartment', 'a trainer who comes to my home') and you need Servana's catego…
Use this when the user wants to find, compare or hire a local business for an in-person service in a US city: house cleaners, laundry, med spas, yoga teachers, personal trainers, photographers, home s…
Use this when the user asks about one specific business from search_vendors results or a servana.ai page: its services, prices, rating, claim status, and whether it accepts messages from AI assistants…
Use this when the user asks what a local service costs in a city (e.g. 'how much is a deep clean in NYC?'). Returns a rough range from Servana businesses' posted rates with a confidence level ('high' …
Use this when the user has chosen a Servana business and asks you to contact it, request a quote, or ask about availability. It sends the user's enquiry to the business; Servana emails the user when t…
Use this when the user asks whether a business answered an enquiry sent earlier in this conversation with send_message_to_vendor. Pass the enquiry_refs that send_message_to_vendor returned. Returns, p…
Use this when the user wants quotes or availability from 1 to 3 Servana businesses (slugs from search_vendors). It shows a quote request form with the details those businesses need (date, area, size a…
Use this when the user approved a structured quote request to 1 to 3 Servana businesses (usually from the prepare_quote_request form). Servana formats the details the businesses asked for and emails t…
Resources · 2
Cards for the businesses search_vendors returned, with rating, claim status and an enquiry button.
ui://servana/vendor-cards.html
A form to check and send a quote request to 1 to 3 businesses, with the details they need.
ui://servana/quote-request.html
How to use
Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://servana.ai/api/mcp
Cursor or Cline: add to your MCP config:
{
"mcpServers": {
"servana": {
"url": "https://servana.ai/api/mcp",
"transport": "streamable-http"
}
}
}