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.

![npm version](https://www.npmjs.com/package/@trustrails/mcp-server) ![License: MIT](https://opensource.org/licenses/MIT)

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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.

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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_product for full specs when you need details

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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 GBP
max_price (number, optional) - Maximum price in GBP
brand (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). Use price_asc when 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

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Supported Retailers

Search across 26,000+ electronics products from major UK retailers including AO, with new retailers added regularly.

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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 ``

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Rate Limits

50 requests per hour per IP address
Rate limit info included in response headers
Limits reset every hour

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Environment Variables

TRUSTRAILS_API_KEY - API key (use mcp-public-2026 for shared public access)
TRUSTRAILS_BASE_URL - API endpoint (optional, defaults to https://trustrails.app)

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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

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Troubleshooting

"Command not found" or server not starting

Make sure Node.js is installed and npx is 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:

  {
    "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"]
  }

First run npm install -g @trustrails/mcp-server, then find your node path with which node.

"Rate limit exceeded"

Wait an hour for limits to reset
Check X-RateLimit-Reset header 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

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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

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Support & Links

Website: trustrails.app
Issues: GitHub Issues
NPM: @trustrails/mcp-server
MCP Registry: modelcontextprotocol.io/servers

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License

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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.

trustrails-mcp-server