Server data from the Official MCP Registry
Find personalized puzzle books by first name from a 100,000+ title Shopify catalog.
About
Find personalized puzzle books by first name from a 100,000+ title Shopify catalog.
Remote endpoints: streamable-http: https://on-demand-books-dq2yvpdh.fermyon.app/
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-gmlewis-on-demand-books": {
"url": "https://on-demand-books-dq2yvpdh.fermyon.app/"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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

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)
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