Connect

8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "servana": {
      "type": "http",
      "url": "https://servana.ai/api/mcp"
    }
  }
}

claude mcp add --transport http servana https://servana.ai/api/mcp

[mcp_servers.servana]
url = "https://servana.ai/api/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "servana": {
      "type": "remote",
      "url": "https://servana.ai/api/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "servana": {
      "type": "http",
      "url": "https://servana.ai/api/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=servana&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vc2VydmFuYS5haS9hcGkvbWNwIn0%3D"
}

{
  "servers": {
    "servana": {
      "type": "http",
      "url": "https://servana.ai/api/mcp"
    }
  }
}

{
  "mcpServers": {
    "servana": {
      "httpUrl": "https://servana.ai/api/mcp"
    }
  }
}

extensions:
  "servana":
    enabled: true
    name: "servana"
    type: streamable_http
    uri: "https://servana.ai/api/mcp"
    timeout: 300

Quality 75 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations8 of 8 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 2,464 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability25 · weight 15

warn
stability.changes11 tool changes in 30 days
fail
stability.rug_pull5 tools kept their name but changed most of their description in 30 days; review before trusting them

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

8 tools, about 2,464 tokens to load them all · tool set df6f0882828c · tools last changed 2026-10-08 · checked 2026-10-19 10:52 UTC

Tool changes

2026-10-08search_vendorschangeddescription, input schema
before
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 and a page URL. If it returns no results, tell the user Servana has no listed business for that yet; never invent one. Do not use for businesses outside the US or for services Servana does not list (use search_services if unsure).
after · 74% of words in common
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 and a page URL. If it returns no results, tell the user Servana has no listed business for that yet; never invent one. Pass the user's specific need in `need` (e.g. decluttering, deep clean, packages) so the best-fitting businesses come first. Nearby towns are searched together (e.g. Nocatee with Ponte Vedra). Do not use for businesses outside the US or for services Servana does not list (use search_services if unsure).
2026-10-07request_quoteadded
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. Do not use to book or pay; Servana does neither.
2026-10-07prepare_quote_requestadded
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 this over writing a free-text message. It sends nothing. Do not use for businesses that were not returned by search_vendors.
2026-10-06check_enquiry_repliesadded
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 conversation or without a ref; never guess a ref.
2026-10-06send_message_to_vendorchangeddescription, input schema
before
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. Before calling, show the user the exact message and get their approval, and include their name and an email or phone number. Do not use to confirm a booking or take payment (Servana does neither), or for businesses marked as not accepting AI-assistant messages.
after · 80% of words in common
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 businesses at once (up to 3), put the extra slugs in also_vendor_slugs. Keep the enquiry_refs it returns for check_enquiry_replies. Before calling, show the user the exact message and get their approval, and include their name and an email or phone number. Do not use to confirm a booking or take payment (Servana does neither), or for businesses marked as not accepting AI-assistant messages.
2026-10-06send_message_to_vendorchangeddescription, input schema
before
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's Servana inbox; the business replies to the user directly. Before calling, show the user the exact message and get their approval, and include their name and an email or phone number. Do not use to confirm a booking or take payment (Servana does neither), or for businesses marked as not accepting AI-assistant messages.
after · 89% of words in common
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. Before calling, show the user the exact message and get their approval, and include their name and an email or phone number. Do not use to confirm a booking or take payment (Servana does neither), or for businesses marked as not accepting AI-assistant messages.
2026-10-01send_message_to_vendorchangeddescription, input schema, annotationsmeaning changed
before
Send a message or booking enquiry to a Servana vendor on the user's behalf. The vendor sees it in their Servana inbox. Include what the user needs, and contact details so the vendor can reply. Requires the user's explicit approval before calling: this contacts a real business.
after · 28% of words in common
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's Servana inbox; the business replies to the user directly. Before calling, show the user the exact message and get their approval, and include their name and an email or phone number. Do not use to confirm a booking or take payment (Servana does neither), or for businesses marked as not accepting AI-assistant messages.
2026-10-01estimate_service_requestchangeddescription, input schemameaning changed
before
Get a rough price estimate for a service in a given city, based on Servana vendors' posted rates. Always a heuristic ESTIMATE, not a quote from any specific vendor: actual pricing is set by each vendor. Response includes a confidence level ('high' = 5+ locally priced vendors, 'medium' = 2-4, 'low' = 0-1, in which case the range falls back to a category-wide median across all metros) and an explanation string naming the sample size and metro used.
after · 42% of words in common
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 explanation naming the sample. Always call it an estimate, never a quote: each business sets its own price. Do not use for one business's prices; use get_vendor.
2026-10-01get_vendorchangeddescription, annotationsmeaning changed
before
Get one Servana vendor's public profile: name, description, services + pricing, verification status, rating, and page URL.
after · 15% of words in common
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.
2026-10-01search_vendorschangeddescription, input schema, annotationsmeaning changed
before
Search Servana's directory of local service businesses (cleaning, med spa, yoga, personal training, and more) by US state, city, and service. Returns business names, descriptions, verification status, rating, pricing, and page URLs.
after · 22% of words in common
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 and a page URL. If it returns no results, tell the user Servana has no listed business for that yet; never invent one. Do not use for businesses outside the US or for services Servana does not list (use search_services if unsure).

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 80 / 100

no-repository

provenance55

liveness100

freshness85

hygiene80

+dns-namespace +website +reachable +uptime-99% ~updated-53d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://servana.ai/api/mcp` streamable-http	none	yes	99%	271 ms	2025-06-18	2026-10-19

Tools (8)

`check_enquiry_replies`read-only	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 conversation or without a ref; never guess a ref.
`estimate_service_request`read-only	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 explanation naming the sample. Always call it an estimate, never a quote: each business sets its own price. Do not use for one business's prices; use get_vendor.
`get_vendor`read-only	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`read-only	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 this over writing a free-text message. It sends nothing. Do not use for businesses that were not returned by search_vendors.
`request_quote`destructive	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. Do not use to book or pay; Servana does neither.
`search_services`read-only	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 these slugs: 'cleaning-and-organizing' (house cleaning, decluttering), 'laundry-washing' (wash and fold), 'med-spa' (botox, facials, skincare), 'yoga', 'personal-training', 'photography', 'home-services' (handyman, home upkeep), 'personal-services'. Do not use for online products, emergencies, or medical, legal or financial advice.
`search_vendors`read-only	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 and a page URL. If it returns no results, tell the user Servana has no listed business for that yet; never invent one. Pass the user's specific need in `need` (e.g. decluttering, deep clean, packages) so the best-fitting businesses come first. Nearby towns are searched together (e.g. Nocatee with Ponte Vedra). Do not use for businesses outside the US or for services Servana does not list (use search_services if unsure).
`send_message_to_vendor`destructive	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 businesses at once (up to 3), put the extra slugs in also_vendor_slugs. Keep the enquiry_refs it returns for check_enquiry_replies. Before calling, show the user the exact message and get their approval, and include their name and an email or phone number. Do not use to confirm a booking or take payment (Servana does neither), or for businesses marked as not accepting AI-assistant messages.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "ai.servana/servana",
  "title": "Servana",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://servana.ai/api/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://servana.ai",
  "description": "Search and message local service vendors (cleaning, med spa, yoga, personal training) by city."
}