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
Visit Server

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)

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured