Add Commerce to Your AI Agent in 4 Lines

4 commands. 38 retailers. 8 countries. Your agent just learned how to shop.

The problem

You're building an AI agent. It can search the web, reason about complex topics, generate code. But when it needs to answer a simple question like "how much does rice cost in Lima today?" — it hits a wall.

Not because it's dumb. Because every retailer has a different API, auth mechanism, schema, and checkout flow. There's no Stripe for commerce data.

Until now.

4 lines. That's it.

# 1. Install

pip install cli-market-world



# 2. Guided first search + interactive tutorial

market init           # login + first query

market tutorial       # 3 exercises: search, compare, export — 60 seconds



# 3. Search — your agent just queried 38 retailers in <1s

market search "leche" --country PE --json



# 4. Connect to your AI agent via MCP

# Add to Cursor / Codex/ Claude / any MCP client:

# → https://cli-market.dev/tools?utm_source=devto&utm_campaign=spike-jun10

That's the entire integration. No API keys per retailer. No HTML scraping. No schema mapping.

What happens under the hood

When your agent runs market search "rice" --country PE --json, CLI Market:

1. Normalizes the query — "arroz", "rice", "arroz blanco" all map to the same product


2. Queries our collector — 38 active retailers, refreshed every 4 hours


3. Returns structured JSON — price per kg/L, store name, country, timestamp


4. Handles auth — one CLI Market token, not 38 retailer tokens.

What it looks like in your terminal:

CLI Market terminal output — 60 seconds, real prices

  {

    "query": "arroz",

    "country": "PE",

    "results": [

      {

        "product": "Arroz Extra 5kg",

        "price": 18.90,

        "price_per_kg": 3.78,

        "store": "Wong",

        "country": "PE",

        "refreshed_at": "2026-06-10T08:00:00Z"

      }

    ]

  }

MCP: the missing piece

CLI Market exposes 22 curated MCP tools (46 legacy) — search, compare, basket, checkout paths — so your agent can:

• Search products across all retailers


• Compare prices between stores


• Filter by country, category, or price range


• Get historical price data (Pro tier)

Connect in Cursor or any MCP client in 30 seconds.

Configuration at:

https://cli-market.dev/tools?utm_source=devto&utm_campaign=spike-jun10.

What you can build with this

• Price monitoring agents — track commodity prices across LATAM


• Shopping assistants — "find the cheapest 5kg rice in Lima"


• Competitive intelligence — benchmark your retail prices against the market


• Supply chain optimization — auto-reorder when prices drop below threshold

What's next

We're working on cart + checkout — so your agent doesn't just search, it buys. One API call to add to cart across any supported retailer.

Start building:

  pip install cli-market-world

  market init

MCP tools:

https://cli-market.dev/tools?utm_source=devto&utm_campaign=spike-jun10

Docs for agents:

https://cli-market.dev/llms.txt

Pricing:

https://cli-market.dev/#pro-checkout?utm_source=devto&utm_campaign=week2

*CLI Market — Commerce infrastructure for AI agents. 38 retailers. 8 countries. MIT on PyPI.

*