On-Demand-Books

On-Demand-Books

Find personalized puzzle books by first name from a 100,000+ title Shopify catalog. Perfect gift-finding tool for any AI agent.

Category
访问服务器

README

on-demand-books MCP Server

An MCP (Model Context Protocol) server that helps AI agents find the perfect personalized puzzle book gift from a catalog of 100,853 customized books available on the On-Demand-Books Shopify store.

Add this server to any MCP-compatible AI agent (Claude Desktop, opencode, etc.) and your agent will be able to search for books by the recipient's first name and hand the buyer a direct Shopify purchase link.

Demo

on-demand-books MCP demo

Tools provided

Tool Purpose
search_books Search the 100k+ personalized catalog by first name. Returns up to 9 matching books (mazes, name-sudokus, word searches across 3 difficulty levels) with direct Shopify purchase URLs, cover images, and ISBNs. Distinguishes exact matches from similar-name matches.
suggest_names Suggest popular first names for which books are available, optionally filtered by a prefix. Use when a buyer is unsure of a spelling or wants gift-recipient ideas.
get_book Re-resolve a single book's Shopify purchase URL from its product handle (as returned by search_books).

Live endpoint

https://on-demand-books-dq2yvpdh.fermyon.app/

Hosted on Fermyon Cloud as a Spin + WebAssembly component built with the wasmcp toolkit.

Add to your MCP client

Claude Desktop / Claude Code (claude_desktop_config.json)

{
  "mcpServers": {
    "on-demand-books": {
      "url": "https://on-demand-books-dq2yvpdh.fermyon.app/"
    }
  }
}

opencode (opencode.json)

{
  "mcp": {
    "on-demand-books": {
      "type": "http",
      "url": "https://on-demand-books-dq2yvpdh.fermyon.app/"
    }
  }
}

Other MCP clients

Point any MCP client that supports the Streamable HTTP transport at the live endpoint above. The server follows the MCP 2025-11-25 spec.

Example agent usage

User: I need a birthday gift for my niece Susan. She likes puzzles.

Agent calls search_books({ "name": "Susan" }) and replies:

Great news — there are 9 personalized puzzle books for Susan, including "Fun Mazes for Susan — Easy to Medium" and "Fun Name Sudokus for Susan — Hard to Insane". Here's a direct link to the first one: https://on-demand-books.com/products/vz5ygw — add it to your cart and check out on Shopify.

Build & run locally

make setup  # Install wasm32-wasip2 target
make build  # Output: target/wasm32-wasip2/release/on_demand_books.wasm
wasmcp compose server target/wasm32-wasip2/release/on_demand_books.wasm -o server.wasm --force
spin up --listen 127.0.0.1:8765   # http://127.0.0.1:8765/

Smoke test with curl:

curl -X POST http://127.0.0.1:8765 -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-11-25","capabilities":{},"clientInfo":{"name":"curl","version":"1"}}}'

curl -X POST http://127.0.0.1:8765 -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'

curl -X POST http://127.0.0.1:8765 -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"search_books","arguments":{"name":"susan"}}}'

Deploy

spin deploy

Implementation

This component uses the capability pattern from wasmcp, implementing just two methods from the tools-capability interface:

  • list_tools() — declares the three tools above.
  • call_tool() — dispatches to the right tool handler and returns the result.

The wasmcp compose CLI wraps the component with the tools-middleware that handles MCP protocol translation, request delegation, and response formatting.

Outbound HTTP to the search API uses the WASI HTTP outgoing-handler interface (not raw sockets) so the component runs correctly on Fermyon Cloud.

See src/lib.rs for the full implementation.

Architecture

MCP client (Claude / opencode / ...)
        │  HTTPS (MCP Streamable HTTP transport)
        ▼
Fermyon Cloud  →  server.wasm  (composed by wasmcp)
        │
        ├─ transport.wasm        (HTTP transport, MCP framing)
        ├─ tools_middleware.wasm (MCP protocol → tool dispatch)
        └─ on_demand_books.wasm  ← THIS COMPONENT
                │
                │  WASI HTTP outgoing-handler
                ▼
        https://on-demand-books-com-kzfxdscz.fermyon.app/search/{name}
                │
                ▼  returns book metadata
        https://on-demand-books.com/products/{handle}  (Shopify store)

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