TrySellr MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TrySellr MCP Serveranalyze this used PS5 and suggest a price for Facebook Marketplace"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TrySellr MCP Server
AI-powered selling intelligence for Facebook Marketplace, eBay, Mercari, OfferUp, and Craigslist.
TrySellr plugs into any MCP-compatible AI assistant (Claude, ChatGPT, Cursor, etc.) and gives sellers superpowers: instant item analysis, conversion-optimized listings, cross-platform pricing data, negotiation coaching, demand intelligence, and batch processing.
One server. Every AI assistant. Every marketplace.
Tools
Tool | What It Does | Tier |
| Identify items, estimate value, detect brand/model | Free (3/day) |
| Generate high-converting listings with SEO | Free (3/day) |
| Cross-platform pricing with sell-speed estimates | Pro |
| AI negotiation coach with copy-paste replies | Pro |
| Trending items and demand signals by location | Pro |
| Listing health score and optimization plan | Pro |
| Process 2-25 items at once | Power |
| Generate listings for 2-6 platforms simultaneously | Power |
Related MCP server: eBay Seller MCP Server
Pricing
Free: 3 analyze + 3 optimize calls/day. No credit card.
Pro ($19/mo): All analysis, pricing, negotiation, and tracking tools.
Power Seller ($49/mo): Everything + batch processing + cross-listing.
Quick Start
1. Get Your API Key
curl -X POST https://trysellr.com/api/signup \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com"}'2. Connect to Claude Desktop
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"trysellr": {
"url": "https://trysellr.com/mcp",
"headers": {
"x-trysellr-key": "tsk_your_api_key_here"
}
}
}
}3. Start Selling Smarter
Open Claude and say:
"Analyze this item: Sony WH-1000XM4 headphones, used, good condition, comes with case"
"Write a Facebook Marketplace listing for a mid-century modern coffee table, walnut, 48x24, great condition"
"What's trending in Electronics in Nashville right now?"
API Endpoint
Base URL: https://trysellr.com/mcp
Transport: Streamable HTTP (MCP spec 2025-03-26)
Auth: Header x-trysellr-key: tsk_your_key
MCP Protocol
# Initialize
curl -X POST https://trysellr.com/mcp \
-H "Content-Type: application/json" \
-H "x-trysellr-key: tsk_your_key" \
-d '{"jsonrpc":"2.0","method":"initialize","params":{},"id":1}'
# List tools
curl -X POST https://trysellr.com/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":2}'
# Call a tool
curl -X POST https://trysellr.com/mcp \
-H "Content-Type: application/json" \
-H "x-trysellr-key: tsk_your_key" \
-d '{
"jsonrpc":"2.0",
"method":"tools/call",
"params":{
"name":"analyze_item",
"arguments":{"description":"iPhone 14 Pro Max 256GB space black, good condition, no cracks"}
},
"id":3
}'Development
# Install
npm install
# Run locally
cp .env.example .env # Edit with your keys
npm run dev
# Build
npm run build
# Test
npm testDeploy
Railway (Recommended)
railway login
railway init
railway upDocker
docker build -t trysellr-mcp .
docker run -p 8080:8080 --env-file .env trysellr-mcpFly.io
fly launch
fly deployArchitecture
┌─────────────────────────────────────────────┐
│ AI Assistants (Clients) │
│ Claude │ ChatGPT │ Cursor │ Any MCP Client │
└────────────────┬────────────────────────────┘
│ MCP Protocol (JSON-RPC 2.0)
│ POST /mcp
┌────────────────▼────────────────────────────┐
│ TrySellr MCP Server │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Auth │ │ Rate │ │ Usage │ │
│ │ Layer │ │ Limiter │ │ Tracker │ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
│ └─────────┬───┘────────────┘ │
│ ┌──────────────▼──────────────────────┐ │
│ │ Tool Registry (8 tools) │ │
│ │ analyze │ optimize │ price │ batch │ │
│ │ negotiate │ demand │ cross │ track │ │
│ └──────────────┬──────────────────────┘ │
│ ┌──────────────▼──────────────────────┐ │
│ │ Service Layer │ │
│ │ AI Engine │ Pricing │ Database │ │
│ └─────────────────────────────────────┘ │
└─────────────────────────────────────────────┘License
MIT — Built by BOEZAC / TrySellr
This server cannot be deployed
Maintenance
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AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Run an eBay seller account from your AI assistant: orders, listings, stock, fees and payouts.
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