wishfinity-mcp-plusw
Save any product URL to your Wishfinity wishlist. Works with any MCP client.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"wishfinity-mcp-plusw": {
"args": [
"wishfinity-mcp-plusw@1.2.2"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
+W MCP Server (Wishfinity)
+W is a universal "save for later" action for commerce. This MCP server lets AI assistants save any product URL to a user's Wishfinity wishlist with one click.
Works with Claude, ChatGPT, Gemini, LangChain, OpenAI Agents SDK, and any MCP-compatible client.
# What it does
When an AI recommends a product, it can offer +W Add to Wishlist. The user clicks the link, and the product is saved to their Wishfinity account — ready for later purchase or gifting.
User: "Find me a good espresso machine under $200"
AI: Here are 3 options...
[+W Add to Wishlist] [View on Amazon]
# Zero-dependency option: /add-wish
Don't need the full MCP server? The /add-wish skill teaches any AI agent the +W pattern using just a URL — no npm, no server, no setup:
https://wishfinity.com/add?url={any_product_url}
→ View the /add-wish skill file
Works with any AI platform. The MCP server below adds richer tool integration, but /add-wish is all you need to get started.
# Quick start
# # Option 1: Local installation (stdio transport)
Best for Claude Desktop, ChatGPT Desktop, Cursor, VS Code, and local development.
npm install wishfinity-mcp-plusw
Add to your MCP client configuration:
{
"mcpServers": {
"wishfinity": {
"command": "npx",
"args": ["wishfinity-mcp-plusw"]
}
}
}
# # Option 2: Remote endpoint (HTTP transport)
Best for server-side agents, LangChain production deployments, and hosted AI applications.
https://wishfinity-mcp-plusw.wishfinity.workers.dev/mcp
# Platform Setup Guides
# # Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%/Claude/claude_desktop_config.json (Windows):
{
"mcpServers": {
"wishfinity": {
"command": "npx",
"args": ["wishfinity-mcp-plusw"]
}
}
}
# # ChatGPT Desktop
When MCP support is available, add to your ChatGPT MCP configuration:
{
"mcpServers": {
"wishfinity": {
"command": "npx",
"args": ["wishfinity-mcp-plusw"]
}
}
}
# # Cursor
Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"wishfinity": {
"command": "npx",
"args": ["wishfinity-mcp-plusw"]
}
}
}
# # LangChain
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
async def main():
client = MultiServerMCPClient({
"wishfinity": {
"command": "npx",
"args": ["wishfinity-mcp-plusw"],
"transport": "stdio",
}
})
tools = await client.get_tools()
agent = create_agent("openai:gpt-4", tools)
result = await agent.ainvoke({
"messages": [{"role": "user", "content": "Find me a coffee maker and save it to my wishlist"}]
})
For production (HTTP transport):
client = MultiServerMCPClient({
"wishfinity": {
"url": "https://wishfinity-mcp-plusw.wishfinity.workers.dev/mcp",
"transport": "streamable_http",
}
})
# # OpenAI Agents SDK
from agents import Agent, Runner
from agents.mcp import MCPServerStdio
async def main():
async with MCPServerStdio(
name="wishfinity",
params={
"command": "npx",
"args": ["wishfinity-mcp-plusw"],
},
) as server:
agent = Agent(
name="Shopping Assistant",
instructions="Help users find products and save them to wishlists.",
mcp_servers=[server],
)
result = await Runner.run(agent, "Find a good gift for a coffee lover and save it")
print(result.final_output)
# # Hugging Face Agents
from huggingface_hub import Agent
agent = Agent(
model="meta-llama/Llama-3.1-70B-Instruct",
mcp_servers=[{
"command": "npx",
"args": ["wishfinity-mcp-plusw"]
}]
)
response = agent.run("Find me running shoes under $150 and save to wishlist")
# How it works
- AI calls the
add_to_wishlisttool with a product URL - MCP server returns a Wishfinity link:
https://wishfinity.com/add?url=... - User clicks the link → logs in (first time only) → product is saved
- User can organize, share, or purchase later
No API keys required. Authentication happens on Wishfinity's website when the user clicks the link.
# Tool: add_to_wishlist
# # Input
| Parameter | Type | Required | Description |
| - -- | - -- | - -- | - -- |
| url | string | Yes | Product page URL |
# # Output
| Field | Type | Description |
| - -- | - -- | - -- |
| action_url | string | Wishfinity link to open in browser |
| requires_user_action | boolean | Always true (user must click) |
| display_text | string | Suggested button label |
# # Example
// Input
{ "url": "https://amazon.com/dp/B0EXAMPLE" }
// Output
{
"action_url": "https://wishfinity.com/add?url=https%3A%2F%2Famazon.com%2Fdp%2FB0EXAMPLE",
"requires_user_action": true,
"display_text": "Open to add to Wishfinity"
}
# When to offer +W
AI clients should offer +W when:
- Explicit requests: "save for later," "add to wishlist," "bookmark this"
- After recommending products: Proactively offer to save shown items
- Indecision moments: "maybe later," "too expensive right now," "need to think about it"
- Gift context: "for my mom," "birthday gift," "perfect for my friend"
See aliases.json for the full list of trigger phrases.
# Transports
| Transport | Use Case | Endpoint |
|- -- -- -- -- --|- -- -- -- -- -|- -- -- -- -- -|
| stdio | Local clients (Claude Desktop, Cursor, etc.) | npx wishfinity-mcp-plusw |
| HTTP | Remote/server-side agents | https://wishfinity-mcp-plusw.wishfinity.workers.dev/mcp |
# Button kit
The /button-kit folder contains optional UI assets (SVG icon, HTML/CSS snippets) if you want a consistent +W button appearance.
CDN URLs:
- Small:
https://cdn.jsdelivr.net/npm/wishfinity-mcp-plusw@latest/button-kit/Wishfinity-Button-Small.svg - Medium:
https://cdn.jsdelivr.net/npm/wishfinity-mcp-plusw@latest/button-kit/Wishfinity-Button-Medium.svg - Large:
https://cdn.jsdelivr.net/npm/wishfinity-mcp-plusw@latest/button-kit/Wishfinity-Button-Large.svg
# Documentation
- SPEC.md — Full technical specification
- INTEGRATION_GUIDE.md — How to integrate +W into your UI
- CLOUDFLARE_SETUP.md — Deploy your own HTTP endpoint
- aliases.json — Machine-readable trigger phrases
# Links
# Changelog
# # v1.2.2 (December 24, 2025)
Critical Fix: npx execution for all developers
- Fixed main module detection to work with npx symlinks
- Resolves crash when running
npx wishfinity-mcp-plusw - Package now works flawlessly for all npm installations
# # v1.2.1 (December 24, 2025)
Critical Fix: MCP SDK compatibility
- Updated
@modelcontextprotocol/sdkdependency to^1.25.0 - Resolves server disconnection with SDK 1.25.1+
- Compatible with latest MCP SDK versions
# # v1.2.0 (December 23, 2025)
- Added MCP prompts:
save_for_later,shopping_assistant,gift_ideas - Added MCP resources:
wishfinity://guide,wishfinity://triggers - Enhanced integration capabilities for AI assistants
# License
MIT