MCP server
Servana Official
ai.servana/servana
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search and message local service vendors (cleaning, med spa, yoga, personal training) by city.
Working at last checkVerified publisher: servana.aiAbout 2,646 tokens per request once connected8 tools
https://servana.ai/api/mcp
At a glance
- Type
- MCP server
- Publisher
- servana.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 8
- Token cost
- About 2,646 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http servana https://servana.ai/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.servana] url = "https://servana.ai/api/mcp"
Gemini CLI
{"mcpServers":{"servana":{"httpUrl":"https://servana.ai/api/mcp"}}}
Cursor
{"mcpServers":{"servana":{"url":"https://servana.ai/api/mcp"}}}
VS Code
{"servers":{"servana":{"type":"http","url":"https://servana.ai/api/mcp"}}}
Antigravity
agy mcp add servana https://servana.ai/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"servana","server_url":"https://servana.ai/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"servana","server_url":"https://servana.ai/api/mcp"}
Tools
check_enquiry_replies~175 tokens
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, per business, whether it replied and the latest reply. Do not use for enquiries sent outside this conestimate_service_request~408 tokens
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' = 5+ local priced businesses, 'medium' = 2-4, 'low' = 0-1, then a category-wide median) and an explaget_vendor~135 tokens
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. Do not use to search for businesses.prepare_quote_request~392 tokens
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 and so on), pre-filled with what the user already said, so the user can check and send it. Prefer thirequest_quote~302 tokens
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 the user their replies. If details are missing it returns which ones; ask the user, never invent. Dosearch_services~248 tokens
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 category slug for search_vendors or estimate_service_request. Skip it if the request clearly fits one of tsearch_vendors~483 tokens
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 services. Returns real businesses listed on Servana with rating, pricing when posted, claim status ansend_message_to_vendorSends messages · ~503 tokens
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 the business replies. Pass customer_name and customer_email when the user gave them. To ask several b
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