mcpField
S
Sauna Guide Quotes

Sauna Guide Quotes

Remote

About Sauna Guide Quotes

Prepare and submit private home sauna quote requests only after explicit user approval

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://sauna.guide/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

2
ParameterTypeRequiredDescription
citystringNoCity where the sauna will be installed.
emailstringNoEmail address for personal provider-search updates.
notesstringNoOptional project details such as space, access, foundation, or electrical work.
phonestringNoUS phone number for questions about the project.
statestringNoTwo-letter US state code for the project.
budgetenumNoExpected project budget range in US dollars.under_5k | 5k_10k | 10k_20k | 20k_plus | not_sure
heatTypeenumNoPreferred sauna heat type, or hybrid_or_unsure when not decided.traditional_electric | wood_fired | infrared | hybrid_or_unsure
timelineenumNoExpected purchase or installation timeline.within_30_days | 1_3_months | 3_6_months | researching
postalCodestringYesUS ZIP code where the sauna will be installed.
contactNamestringNoName of the person requesting the quote.
projectTypeenumNoPrebuilt, custom indoor, custom outdoor, or not yet decided.prebuilt | custom_indoor | custom_outdoor | not_sure
brandOrModelstringNoOptional sauna brand or model already under consideration.
electricalReadinessenumNoOptional description of the electrical power currently available at the site.240v_ready | 120v_only | no_site_power | not_sure

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.