TrustRails MCP Server
Searches UK electronics products across multiple retailers, compares prices, and provides purchase links.
README
TrustRails MCP Server
Search UK electronics products - compare prices, find deals, and discover products across multiple retailers.
Built for the Model Context Protocol (MCP) - works with Claude Desktop, Claude Code, and other MCP-compatible AI assistants.
Quick Start
No installation needed — just add TrustRails to your Claude config.
Configuration
For Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"trustrails": {
"command": "npx",
"args": ["-y", "@trustrails/mcp-server"],
"env": {
"TRUSTRAILS_API_KEY": "mcp-public-2026"
}
}
}
}
For Claude Code (~/.config/claude/config.json):
{
"mcpServers": {
"trustrails": {
"command": "npx",
"args": ["-y", "@trustrails/mcp-server"],
"env": {
"TRUSTRAILS_API_KEY": "mcp-public-2026"
}
}
}
}
That's it! Restart Claude and start searching.
What You Can Do
Natural Language Product Search
Just ask Claude naturally — it will decompose your request into the right query and filters:
"Find me a gaming laptop under £1000"
"I need Sony noise cancelling headphones"
"What HP laptops are available between £500-£700?"
"Show me Anker chargers"
Claude will search across multiple UK retailers and show you:
- Real-time prices & availability
- Direct purchase links
- Then call
get_productfor full specs when you need details
Available Tools
search_products
Search 26,000+ UK electronics products. Returns summary data (title, price, availability, category). For full technical specs, use get_product.
Parameters:
query(string) - Refinement terms after brand and category are extracted: model lines, series, variants, technology descriptors, or model numbers (e.g., "neo", "ultra", "oled", "WH-1000XM5"). Omit entirely if brand + category alone describe what's needed. Never put brand names, product family names, or prices here — use filters.min_price(number, optional) - Minimum price in GBPmax_price(number, optional) - Maximum price in GBPbrand(string, optional) - Filter by brand, exact match (e.g., "Sony", "HP", "Apple")category(string, optional) - Filter by category: Laptops, Desktops, Tablets, Phones, TVs, Monitors, Headphones, Speakers, Cameras, Keyboards, Mice, Printers, Networking, Storage, Gaming, Wearables, Drones, Audio, Cables & Chargers.lite(boolean, optional) - Return trimmed product objects (reduces payload by ~80%). Always use for LLM integrations.limit(number, optional) - Maximum products to return (default 50, max 100)sort(string, optional) - Sort order:relevance(default),price_asc(cheapest first),price_desc(most expensive first). Useprice_ascwhen comparing prices.
Returns: Up to 50 products with summary data. With lite: true, returns only essential fields (id, title, brand, price, availability, image_url, purchase_url).
get_product
Get full details for a single product. Returns complete technical specifications including specs.description (full prose spec text with processor, RAM, storage, display, ports, etc.), stock level, delivery time, and all retailer offers with per-retailer pricing. Use after search_products for detailed comparison or recommendations.
Parameters:
product_id(string) - The product ID from search results
Returns: Complete product with full specs (including specs.description), pricing across all retailers, and provenance information
Supported Retailers
Search across 26,000+ electronics products from major UK retailers including AO, with new retailers added regularly.
Example Usage
Budget shopping:
"Find gaming laptops under £800"
→ category='Laptops', query='gaming', max_price=800, sort='price_asc', lite=true
Brand search:
"I need Sony headphones under £200"
→ brand='Sony', category='Headphones', max_price=200, sort='price_asc', lite=true
Category browsing:
"Show me cheap monitors"
→ category='Monitors', max_price=200, lite=true
Detailed specs:
"Tell me the full specs of this laptop"
→ get_product(product_id) — returns full technical specifications
Price range:
"Apple products between £500 and £1000"
→ brand='Apple', min_price=500, max_price=1000, lite=true
Rate Limits
- 50 requests per hour per IP address
- Rate limit info included in response headers
- Limits reset every hour
Environment Variables
TRUSTRAILS_API_KEY- API key (usemcp-public-2026for shared public access)TRUSTRAILS_BASE_URL- API endpoint (optional, defaults tohttps://trustrails.app)
Why TrustRails?
- ✅ Real-time data - Product feeds updated twice daily
- ✅ Multiple retailers - Compare prices in one search
- ✅ Stock information - See what's actually available to buy
- ✅ Direct purchase links - Click through to buy immediately
- ✅ Zero setup - Works out of the box with shared public key
- ✅ UK-focused - Optimized for UK electronics shopping
Troubleshooting
"Command not found" or server not starting
- Make sure Node.js is installed and
npxis available:npx --version - Try running manually:
npx -y @trustrails/mcp-server - Using nvm? Claude Desktop doesn't inherit your shell PATH. Use the full path to node instead:
First run{ "command": "/Users/YOUR_USERNAME/.nvm/versions/node/vX.X.X/bin/node", "args": ["/Users/YOUR_USERNAME/.nvm/versions/node/vX.X.X/lib/node_modules/@trustrails/mcp-server/dist/index.js"] }npm install -g @trustrails/mcp-server, then find your node path withwhich node.
"Rate limit exceeded"
- Wait an hour for limits to reset
- Check
X-RateLimit-Resetheader for exact reset time - 50 requests/hour is plenty for normal usage
"No results found"
- Try broader search terms (e.g., "laptop" instead of specific model)
- Check spelling of brand names
- Try searching without filters first
Development
Local Setup
# Clone the repo
git clone https://github.com/james-webdev/trustrails-mcp-server
cd trustrails-mcp-server
# Install dependencies
npm install
# Run locally
npm run dev
Testing
# Run the MCP inspector to test tools
npx @modelcontextprotocol/inspector npm run dev
Support & Links
- Website: trustrails.app
- Issues: GitHub Issues
- NPM: @trustrails/mcp-server
- MCP Registry: modelcontextprotocol.io/servers
License
MIT © TrustRails
About MCP
This server implements the Model Context Protocol, a standard for connecting AI assistants to external tools and data sources. Learn more about building MCP servers at modelcontextprotocol.io.
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