Fold Laundry MCP MCP server

This official MCP server allows AI agents to manage laundry and dry-cleaning services in Los Angeles and San Francisco. It enables users to check service coverage, estimate costs, book residential pickups, track orders, and manage account preferences. The server supports both guest bookings via secure payment links and authenticated bookings using saved customer details like addresses and payment methods.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Fold Laundry LLC

MCP endpoint (Streamable HTTP)

https://foldlaundry.com/mcp

Vendor documentation

What you can do with it

Check service availability for a specific zip code
Estimate costs for wash and fold or dry cleaning
Book a residential laundry pickup
Track the status of an existing order

Tools advertised by the last live check:

search_hotels
book_hotel_pickup
check_service_zip
book_residential_pickup
track_order
cancel_order
enroll_in_club
reschedule_order
list_my_orders
get_estimate
apply_promo_code
list_campuses
buy_semester_pass
get_semester_pass
activate_semester_pass
get_pricing
get_service_info
get_host_program_info
get_referral_code
get_my_account
book_my_pickup
update_care_preferences
update_access_info
set_recurring_pickup
update_recurring_pickup
report_issue
get_receipt
subscribe_order_updates

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http fold-laundry-mcp https://foldlaundry.com/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add fold-laundry-mcp --url https://foldlaundry.com/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable fold-laundry-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "fold-laundry-mcp": {
      "url": "https://foldlaundry.com/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "fold-laundry-mcp": {
      "type": "streamableHttp",
      "url": "https://foldlaundry.com/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start fold-laundry-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "fold-laundry-mcp": {
      "type": "http",
      "url": "https://foldlaundry.com/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http fold-laundry-mcp https://foldlaundry.com/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "fold-laundry-mcp": {
      "url": "https://foldlaundry.com/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "fold-laundry-mcp": {
      "serverUrl": "https://foldlaundry.com/mcp"
    }
  }
}

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