Agentic Shopping MCP
Provides mock commerce functionality including product search, details retrieval, reviews access, and budget-constrained shopping recommendations with sustainability calculations
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Agentic Shopping MCP
Production-ready MCP (Model Context Protocol) server that exposes commerce tools, plus a secure HTTP bridge that Cequence can place in front of for OAuth, scoping, and observability. Includes a simple Next.js demo UI.
Hackathon focus: “Build the Infrastructure for Autonomous Software”.
Transform apps into AI-ready, agent-accessible services using a Cequence AI Gateway with OAuth (Descope) and MCP.
🧱 What’s in here
MCP Server (
src/server.ts→dist/server.js)
Tools:commerce:ping,commerce:echocommerce:search(local mock catalog)commerce:details,commerce:reviewscommerce:budget_top(Budget Constraint AI)commerce:sustainability(approx CO₂ calc)
HTTP Bridge (
src/http_bridge.ts)
ExposesPOST /mcp/tools/call→ spawns MCP server over stdio → calls tool.Auth: Dev Bearer token or JWT (HS256/RS256).
Emits JSON logs w/
requestId→ gateway-friendly.
Web Demo (
/web, Next.js 15 + Tailwind)Budget Constraint AI form
Sustainability badge
Related MCP server: ecommerce-mcp-server
🗂️ Repo Structure (key paths)
. ├─ data/ │ ├─ catalog.sample.json │ └─ reviews.sample.json ├─ dist/ # built server files (gitignored) ├─ scripts/ │ └─ test_client.ts # MCP stdio test ├─ src/ │ ├─ app/api/commerce/route.ts # Web API -> MCP server │ ├─ http_bridge.ts # HTTP Bridge -> MCP server │ ├─ providers/amazon.ts # sample provider (file-based) │ └─ server.ts # MCP server (tools) └─ web/ ├─ src/app/page.tsx # UI └─ (Next.js project)
⚙️ Prerequisites
Node.js 20+
npm
(Optional) curl + jq for testing
🚀 Quick Start (Local)
# clone & install
git clone https://github.com/rochitl72/mcp-den.git
cd mcp-den
npm install
1) Build MCP Server
npm run build
2) Test MCP via stdio client
npm run test:client
# Expect:
# TOOLS: [ 'commerce' ]
# PING: pong
# ECHO: echo: hello mcp
# SEARCH/DETAILS/REVIEWS/BUDGET_TOP outputs...
3) Run the HTTP Bridge (Cequence-facing)
# DEV token mode
DEV_TOKEN=dev123 npm run bridge
# -> MCP HTTP bridge listening on http://localhost:8787
Call bridge with curl:
curl -s http://localhost:8787/mcp/tools/call \
-H "authorization: Bearer dev123" \
-H "content-type: application/json" \
-d '{"name":"commerce","arguments":{"action":"budget_top","query":"phone","budgetMaxINR":15000,"featurePref":"camera","topK":3,"filters":{"minRating":3.5}}}' | jq .
4) Run the Web Demo
cd web
npm install
npm run dev
# http://localhost:3000
⸻
🔐 Auth Options (Bridge)
Set one of the following:
• Dev token (easy)
export DEV_TOKEN=dev123
npm run bridge
• JWT HS256
export JWT_MODE=hs256
export JWT_SECRET='<your-hs256-shared-secret>'
npm run bridge
• JWT RS256 (OIDC/Descope public key)
export JWT_MODE=rs256
export JWT_PUBLIC_KEY_B64="$(base64 -i public.pem)"
npm run bridge
Scopes checked (simple demo):
mcp:commerce:<action> or mcp:commerce:* when calling /mcp/tools/call.
⸻
🧪 HTTP Bridge API
• POST /mcp/tools/call
Headers:
• Authorization: Bearer <token>
• Content-Type: application/json
Body:
{ "name": "commerce", "arguments": { "action": "ping" } }
Response:
{ "ok": true, "requestId": "uuid", "tool": "commerce", "action": "ping", "data": "..." }
• GET /healthz → { "ok": true }
⸻
🌐 Hooking up Cequence AI Gateway
• Point Cequence upstream to the HTTP bridge (http://your-host:8787).
• Enforce:
• OAuth/JWT validation (issuer = Descope)
• Scopes → mcp:commerce:budget_top, etc.
• Rate limit / mTLS / logging
• Propagate headers: Authorization and x-request-id (or set at gateway)
• Observe logs: bridge prints JSON lines with requestId, user, action, duration.
⸻
🧩 Using from Agent Clients
• Claude Desktop / Crew / LangChain can use:
• stdio: point to dist/server.js
• HTTP: call the bridge endpoint from your agent runtime (Gateway in front for auth)
(You can also run the bridge in the same container as the MCP server.)
⸻
🛠️ Scripts
# package.json (root)
{
"scripts": {
"build": "tsc -p tsconfig.server.json",
"dev": "tsx src/server.ts",
"test:client": "tsx scripts/test_client.ts",
"bridge": "tsx src/http_bridge.ts"
}
}
Web project scripts (in /web):
{
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start"
}
}
⸻
🔧 Environment
Create .env in repo root if needed:
# Bridge
DEV_TOKEN=dev123
# or JWT_MODE=hs256
# JWT_SECRET=your-secret
# or JWT_MODE=rs256
# JWT_PUBLIC_KEY_B64=base64-of-public-pem
# (Optional) values MCP server may read
X_USER=
X_REQUEST_ID=
⸻
🧰 Troubleshooting
• Timeouts from test client
Ensure only one MCP server registers tools; restart terminal if stray processes existed.
• ENOENT on catalog JSON
We resolve the data/ path relative to providers/amazon.ts—run npm run build again after editing.
• Next.js/Tailwind errors
Ensure web installed dev deps and Tailwind config is correct (postcss.config.js, tailwind.config.ts).
• 401 from bridge
Provide Authorization: Bearer <DEV_TOKEN or JWT>.
⸻
📦 Deploy
• Bridge + MCP: Docker or Render/Fly. Expose port 8787.
• Web: Deploy /web to Vercel/Netlify.
• Configure Cequence to sit in front of the bridge with your OIDC (Descope).
(A Dockerfile + Fly/Render configs can be added on request.)
⸻
📜 License
MIT (or your choice)
MD
If you also want a quick **`.env.example`** for the repo:
```bash
cat > .env.example <<'ENV'
# One of the following auth modes for the HTTP bridge:
# Dev token mode (easy for local)
DEV_TOKEN=dev123
# JWT HS256 mode
# JWT_MODE=hs256
# JWT_SECRET=replace-with-shared-secret
# JWT RS256 mode
# JWT_MODE=rs256
# JWT_PUBLIC_KEY_B64=base64-of-your-public-pem
ENV
Commit & push:
git add README.md .env.example
git commit -m "Add README and env example"
git push
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Maintenance
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