Sorftime Seller Agent

Turn any AI agent into your personal marketplace intelligence analyst.

Agent-agnostic, MCP-native design. Works with Claude Code, Codex, Cursor, OpenClaw, Hermes, Pi — any MCP-compatible AI agent.
Instant access to 86 marketplace analysis tools. Amazon · Walmart · TikTok Shop · 1688 · Shopee · TEMU.

No dashboards. No exports. Just talk to your AI.

⚡ Quick Start

1. Get a free Sorftime account

Visit open-intl.sorftime.com — sign up with Google, free trial credits included. Payment via PayPal when you need more.

2. Install the skill

git clone https://github.com/DannylydST/sorftime-seller-agent.git
cd sorftime-seller-agent
python3 scripts/install.py

3. Ask your AI

"Find blue ocean products in yoga mats on Amazon US for a beginner"
"Analyze this competitor: ASIN B08N5WRWNW"
"Calculate my profit: price $29.99, cost $8.50, weight 1.2lb"

🤔 Why This Exists

Amazon sellers spend $29–$229/month on tools like Helium 10 and Jungle Scout. You log into dashboards, click through menus, export CSV files, then switch to another tool for analysis.

Sorftime Seller Agent skips all that. You talk to your AI assistant — any MCP-compatible agent — and it queries marketplace data directly, analyzes it with a framework of 20 proprietary methodology cards, and gives you actionable insights.

Before: Log in → navigate → click → export → analyze manually  (15–30 min)
After:  "Find blue ocean yoga mat products" → results in 20 seconds

🧠 What It Can Do

🤖 Agent-Friendly by Design

This skill is built as an agent-agnostic MCP-native skill from the ground up. It's not a Claude Code plugin. It's not a wrapper around an API. It's a self-contained MCP bridge + intelligence layer that any MCP-compatible AI agent can load and use immediately.

What makes it agent-agnostic:

• MCP-first architecture — Every capability is a standard MCP tool (86 tools, auto-synced with Sorftime's server)
• Zero agent-specific code — No Claude-specific prompts, no Cursor-specific config. Pure MCP protocol
• Auto-detection — install.py detects your environment and outputs the right config snippet
• Self-contained — Ships with its own Python venv, bridge, cache, and schema store. No external deps beyond Python 3.10+
• Bilingual routing — Understands English and Chinese input, routes to the right analysis pipeline regardless of which agent you use

🆚 How It Compares

📦 Installation

Prerequisites: Python 3.10+ · A Sorftime account (free signup) · Any MCP-compatible AI agent

# Clone the repo
git clone https://github.com/DannylydST/sorftime-seller-agent.git
cd sorftime-seller-agent

# One-click install (creates venv, installs deps, configures MCP)
python3 scripts/install.py

# Verify everything works
python3 scripts/healthcheck.py

That's it. Your AI agent can now access 86 marketplace intelligence tools.

Platform support: macOS · Linux · Windows (all Python 3.10+ environments)

💬 Example Conversations

Find products in an untapped niche

You: "Find blue ocean products in kitchen storage on Amazon US. I'm a beginner seller with $5K budget."

Agent: [Scans Hidden Profit Index, filters by low competition, beginner-friendly categories]
"Here are 5 opportunities with low brand concentration, <500 reviews on top listings, and healthy margins. #1: Under-sink organizers — 15K monthly searches, only 3 competitors with >100 reviews."

Analyze a competitor

You: "Analyze ASIN B08N5WRWNW — give me their traffic keywords and pricing strategy."

Agent: [Pulls ProductDetail, TrafficTerms, CompetitorKeywords]
"Gaiam Yoga Block — 40K monthly sales, 4.7 stars, $18.99. Top 3 traffic keywords: 'yoga block' (52K), 'yoga blocks 2 pack' (28K), 'cork yoga block' (15K). FBA fee: $12.82. Threat assessment: medium."

Calculate profitability

You: "I'm sourcing yoga mats at $8.50/piece. I want to sell at $29.99, weight 1.2lb. Should I?"

Agent: [Runs Calculator with FBA fee estimate]
"Gross margin: 38%. Break-even: 9 units/day. Return rate sensitivity: profit stays positive up to 12% returns. Verdict: viable — proceed."

Research keywords

You: "What keywords should I target for a new yoga mat listing?"

Agent: [KeywordDetail, KeywordExtends, KeywordSearchResults]
"Top opportunities: 'extra thick yoga mat' (147K searches, low competition), 'non slip yoga mat' (98K), 'yoga mat with strap' (52K). Avoid 'yoga mat' (1.4M searches, saturated — dominated by Amazon Basics and Gaiam)."

Cross-platform arbitrage

You: "Are there products selling higher on Walmart than Amazon?"

Agent: [Cross-platform gap analysis using Sorftime dual-platform data]
"Found 3 products with significant price gaps. 'Premium Yoga Block Set' — $34.99 on Walmart vs $24.99 on Amazon (40% premium). Only 3 sellers on Walmart vs 12 on Amazon."

🌍 Supported Platforms

🙋 FAQ

Q: Is this official Sorftime?
Yes. Built by @DannylydST at Sorftime Data Technology. The skill connects to Sorftime's official MCP API (open-intl.sorftime.com).

Q: Do I need to pay?
New accounts get free trial credits. Paid plans available via PayPal when you need more.

Q: What AI tools work with this?
Any MCP-compatible agent — Claude Code, Codex (OpenAI), Cursor, OpenClaw, Hermes, Pi, and more. If your AI speaks MCP, it can use Sorftime. The install.py script auto-detects your environment.

Q: How do I get my MCP Key?
Sign up at open-intl.sorftime.com → MCP page → copy Key.

Q: Can I use this without an AI agent?
Yes — you can call the CLI tools directly: python3 scripts/picker.py --keyword "yoga mat". But the full power comes from AI-driven analysis with the 20 methodology cards.

Q: What's included in the 20 methodology cards?
Proprietary analysis frameworks like Hidden Profit Index, Blue Ocean Finder, Competitor Deep-Dive, Keyword Strategy — full-ranking models that show you everything (no hard thresholds that hide borderline products). See references/methodology-cards/.

📄 License

MIT © DannylydST · Sorftime Data Technology

Built for sellers. By sellers.