price-verify-mcp

price-verify-mcp

Enables price verification via the Serper API, providing tools to check product prices on Google Shopping and scrape specific merchant pages. It returns compact, token-efficient results to avoid overwhelming LLM contexts.

Category
访问服务器

README

price-verify-mcp

MCP server for price verification via the Serper API (Google Shopping + merchant page scraping).

Built to solve the problem of Google Shopping responses being too large and blowing up the LLM context: all data is truncated and reformatted server-side before being returned to the model. A price check consumes ~50 tokens instead of several thousand.

Exposed tools

Tool Role Output
verify_price Searches a product on Google Shopping, keeps only the top N offers (default 3, max 5) with reduced fields (title, price, merchant, rating, delivery). Optional verdict vs expected price (in line / more expensive / cheaper, ±10 % tolerance by default). Compact text + structured JSON
scrape_price Scrapes a merchant product page and extracts only the price (schema.org JSON-LD first, then text regex). One price, minimal context. Compact text + structured JSON
cache_stats Internal cache state (diagnostic). JSON

Why not a Serper "pass-through" server (e.g. go-serper-mcp-server)?

Those servers return the full raw Serper JSON (all offers, imageUrl, 300-character links, indented), and num is ignored by Serper's shopping endpoint (fixed Google Shopping grid). Result: tens of thousands of tokens per call. Here, truncation happens inside the MCP server, not via the num parameter.

Installation

Requirements: Node.js ≥ 18 (only for the local development option; npx handles everything else).

Option 1 — Via npx, directly from GitHub (recommended)

No local install: npx downloads and runs the server on the fly. The repo contains a package.json with a bin field, so npx can execute it directly:

{
  "mcpServers": {
    "price-verify": {
      "command": "npx",
      "args": ["-y", "github:Llamatron2112/price-verify-mcp"],
      "env": {
        "SERPER_API_KEY": "YOUR_SERPER_KEY"
      }
    }
  }
}

Requirements: public repository, valid package.json at the root, bin field present (all already in place). The first run installs the dependencies (a few seconds). You can also pin a commit/tag: github:<YOUR_USER>/price-verify-mcp#v1.0.0.

💡 This format is accepted by any MCP client supporting stdio servers and Claude-style config: Chatbox, Claude Desktop, Cursor, VS Code (they all accept the mcpServers key).

Option 2 — Local development

git clone https://github.com/Llamatron2112/price-verify-mcp.git
cd price-verify-mcp
npm install

Where does the API key go? Two options, depending on the context:

Context Where the key goes File to fill
Chatbox / MCP client (recommended) env block of the MCP server config (environment variable SERPER_API_KEY) none — just the config
Command-line testing .env file read by the server at startup (looked up in the current working directory, then the module directory) .env (copy .env.example)

⚠️ Priority: if SERPER_API_KEY is defined in the environment (the MCP client case), it wins over the .env file — the server never overrides an already-defined variable. So you don't need to touch .env when the key is in the client config.

API key: https://serper.dev/ (2,500 free searches, no credit card required).

Configuration in Chatbox

Chatbox accepts the Claude format (mcpServers key) for importing an MCP server.

Method A — Via the UI (recommended)

  1. Settings → MCP → Add Server
  2. Paste the content of mcp.chatbox.json (Claude format, replace the key):
{
  "mcpServers": {
    "price-verify": {
      "command": "npx",
      "args": ["-y", "github:Llamatron2112/price-verify-mcp"],
      "env": {
        "SERPER_API_KEY": "YOUR_SERPER_KEY"
      }
    }
  }
}
  1. Save, then enable the server in the conversation.

💡 The same claude_desktop_config.json file (identical format) can be imported as-is into Claude Desktop (Settings → Developer → Edit Config).

Method B — One-click link

npm run install-link

The script prints a chatbox://mcp/install?server=... link to open in the browser (Chatbox must be installed). It reads the mcp.chatbox.json config (Claude format) and converts it automatically to the flat format expected by the one-click link.

Quick check

node server.js   # should start without error (waits for MCP messages on stdin)
npm test         # unit tests for price parsing

Usage examples (prompts)

Simple check:

Verify the price of "Sony WH-1000XM5" with verify_price (gl=fr).

With expected price (verdict):

Use verify_price with product="Sony WH-1000XM5", expected_price=300, gl="fr". Just tell me if the price found is in line and where.

Exact price at the source:

I have this URL https://www.fnac.com/... — use scrape_price to give me the current price.

Best practices for the LLM (to add to your system prompts)

  • Always pass gl/hl (e.g. fr) for localized results.
  • verify_price: use a precise query (brand + model + variant) to avoid heterogeneous offers.
  • limit: keep 3 by default, 5 maximum.
  • Don't copy the structured JSON into the answer — reply in 1–2 lines (price, merchant, verdict).
  • scrape_price: reserve for already-known URLs (2nd step), as a scrape can be slower.
  • Prices are displayed in the currency's natural format (e.g. 299,99 € for EUR, $1,299.99 for USD, £299.99 for GBP), detected automatically from the offer string.

Project structure

price-verify-mcp/
├── server.js              # MCP server (stdio) + tool definitions
├── lib/
│   ├── serper.js          # Serper API client (shopping + scrape)
│   ├── prices.js          # Price parsing (FR/US), verdicts, JSON-LD/regex extraction
│   └── cache.js           # In-memory TTL cache (6 h shopping, 1 h scrape)
├── scripts/install-link.js # Generates the Chatbox one-click link
├── test/prices.test.js     # Unit tests
├── mcp.chatbox.json        # Chatbox config (Claude format)
├── claude_desktop_config.json # Claude Desktop config (identical)
├── .env.example            # Configuration template
├── .gitignore              # node_modules, .env, *.tgz
├── LICENSE                 # MIT
└── package.json            # bin: price-verify-mcp (required for npx)

Known limitations

  • num ignored by Serper shopping: limiting is done server-side (limit), not via the API.
  • Google Shopping gives indicative prices; the exact price at the source requires scrape_price (some anti-bot or JS-only pages cannot be scraped).
  • In-memory cache: cleared on server restart.
  • 1 Serper key = 1 shared quota (2,500 free searches, then paid credits).

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选