Juicy Designs Quote MCP Server

Juicy Designs Quote MCP Server

Enables AI agents to request quotes and strategy sessions from Juicy Designs, and read service catalog, case studies, reviews, and FAQs via MCP or REST APIs.

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README

Juicy Designs — Quote MCP Server + REST API (Cloudflare Worker)

Request and read-only capabilities for AI agents, exposed two ways:

Transport Path For
MCP (Streamable HTTP) POST /mcp ChatGPT / Claude / agent connectors
REST request POST /quote, POST /strategy-session Agentic browsers / OpenAPI clients
REST read GET /service-catalog /service-areas /case-studies /client-reviews /faqs Read reference data
Discovery GET /, GET /openapi.json Health + machine-readable spec

Tools

Tool Type Purpose
get_quote request Submit a free, no-obligation quote request. Consent-gated.
book_strategy_session request Request a free strategy session. Consent-gated.
get_service_catalog read Services + reference "from" floors (reference only).
get_service_areas read Where Juicy Designs works.
get_case_studies read Track record and portfolio pointer.
get_client_reviews read Aggregate Google rating and review source.
get_faqs read Common questions and answers.

Both request tools share the same server-side validation and the same forwardLead() sink, which posts the lead to the existing Juicy Designs Apps Script form handler as form_type=quote — leads land exactly where the website form's leads land (email + the "Leads" Google Sheet). Read tools return curated static data only; no PII, no external calls.

Guarantees

  • Never returns or implies a price. Published "from" figures are entry-point references only, never a quote or estimate. Confirms receipt + the four-working-hour SLA only.
  • Rejects consent_to_contact !== true on every request tool (POPIA).
  • All input validated server-side — the model's extraction is never trusted.
  • Read tools are side-effect-free and contain no per-user calculation.
  • Enum inputs map to the labels the Apps Script email/sheet expects.

Deploy

cd mcp-quote-worker
npm install

# 1) Lead sink (the existing Apps Script /exec URL)
npx wrangler secret put LEAD_ENDPOINT
#   paste: https://script.google.com/macros/s/AKfycb.../exec

# 2) (optional) per-IP rate limit — Apps Script already throttles 5/10min
# npx wrangler kv namespace create RATELIMIT   # then paste id into wrangler.toml + uncomment

npx wrangler deploy

Deploy prints the Worker URL, e.g. https://juicy-designs-quote.<subdomain>.workers.dev. Put that origin into openapi.yaml (servers.url) and wherever you advertise the endpoint.

Local test

npx wrangler dev          # serves on http://localhost:8787

# REST
curl -s localhost:8787/quote -H 'content-type: application/json' -d '{
  "name":"Sipho Dlamini","email":"sipho@example.co.za","service":"seo",
  "project_summary":"E-commerce store, want to rank for running shoes in SA.",
  "budget_range":"25k_75k","timeline":"1_3_months","consent_to_contact":true
}'

# MCP: list tools
curl -s localhost:8787/mcp -H 'content-type: application/json' -d \
  '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# MCP: call get_quote
curl -s localhost:8787/mcp -H 'content-type: application/json' -d \
  '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_quote","arguments":{"name":"Sipho","email":"s@x.co.za","service":"seo","project_summary":"Need SEO for a new store in Pretoria.","consent_to_contact":true}}}'

A request without consent_to_contact:true must come back as an error — that is the POPIA gate working.

Connect as a connector

Claude (Settings → Connectors → Add custom connector): URL = https://<worker>/mcp. ChatGPT (Settings → Connectors / Developer mode): add an MCP server with the same /mcp URL. The connector lists one tool, get_quote. The agent should read the fields back and confirm consent with the user before calling. No authentication is required (the tool only creates a lead).

Connector discovery (so agents can find it)

After deploy, advertise the endpoints from the site:

  1. A short docs page (e.g. /connect/ or a section on /quote/) listing the MCP + OpenAPI URLs.
  2. Append to llms.txt (root of juicydesigns.co.za):
## For AI agents
- MCP server (request a quote): https://<worker>/mcp
- OpenAPI 3.1 spec: https://<worker>/openapi.json

(Left out of llms.txt until you have the real Worker URL — paste it in post-deploy so there is no dead link.)

Map of inputs → Apps Script fields

MCP/REST input sent as shown in email/sheet
service (enum) services (label) Services
budget_range (enum) budget (label) Budget
project_summary (+ timeline + source) message Message
name / email / phone / company same as-is
form_type quote routes to the quote email/template

Swap the body of forwardLead() in src/index.ts to send leads elsewhere (CRM, webhook, Resend).

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