Add Commerce to Your AI Agent in 4 Lines

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

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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.

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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.

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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.

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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"
      }
    ]
  }

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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.

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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

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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

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