Wishfinity Mcp Plusw

io.github.wishfinity由 GitHub 账号 wishfinity 发布v1.2.2更新于 Oct 24, 2026

Save any product URL to your Wishfinity wishlist. Works with any MCP client.

已验证STDIO仅桌面效率与工作流商业与电商

概览

AI 生成的概览

让助手把商品链接转换成 Wishfinity 心愿单链接,用户点击后即可保存该商品。

可以做什么
只提供一个工具 add_to_wishlist,输入商品页面 URL,返回 Wishfinity 操作链接、需要用户操作的标记以及建议的按钮文字。当用户要求稍后保存、在推荐商品之后,或处于送礼和犹豫场景时,助手可以给出该链接。真正的保存动作发生在用户点击链接并登录 Wishfinity 网站之后。
适用场景
适合会推荐商品并希望提供一键“稍后保存”的购物助手,也适合应主动提议收藏用户正在考虑的商品。若只需要商品搜索或比价,则不必安装。
运行要求
通过 npm 包 wishfinity-mcp-plusw 以 stdio 在本地运行,需要 Node.js 和 npx;文档也提供面向服务端代理的远程 HTTP 端点。未声明 API 密钥或环境变量。用户需要 Wishfinity 账号才能在浏览器中完成保存。
安装前请注意
该工具只生成链接,用户必须点击并在 Wishfinity 网站登录,因此商品 URL 会传给 Wishfinity。服务器本身不索取任何凭据。返回的链接属于第三方网址,打开前请自行确认。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Wishfinity Mcp Plusw,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

+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.

[npm version] [License: MIT]

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.

bash
npm install wishfinity-mcp-plusw

Add to your MCP client configuration:

json
{  "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):

json
{  "mcpServers": {    "wishfinity": {      "command": "npx",      "args": ["wishfinity-mcp-plusw"]    }  }}

ChatGPT Desktop

When MCP support is available, add to your ChatGPT MCP configuration:

json
{  "mcpServers": {    "wishfinity": {      "command": "npx",      "args": ["wishfinity-mcp-plusw"]    }  }}

Cursor

Add to .cursor/mcp.json in your project:

json
{  "mcpServers": {    "wishfinity": {      "command": "npx",      "args": ["wishfinity-mcp-plusw"]    }  }}

LangChain

python
from langchain_mcp_adapters.client import MultiServerMCPClientfrom 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):

python
client = MultiServerMCPClient({    "wishfinity": {        "url": "https://wishfinity-mcp-plusw.wishfinity.workers.dev/mcp",        "transport": "streamable_http",    }})

OpenAI Agents SDK

python
from agents import Agent, Runnerfrom 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

python
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

  1. AI calls the add_to_wishlist tool with a product URL
  2. MCP server returns a Wishfinity link: https://wishfinity.com/add?url=...
  3. User clicks the link → logs in (first time only) → product is saved
  4. 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

ParameterTypeRequiredDescription
urlstringYesProduct page URL

Output

FieldTypeDescription
action_urlstringWishfinity link to open in browser
requires_user_actionbooleanAlways true (user must click)
display_textstringSuggested button label

Example

json
// 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

TransportUse CaseEndpoint
stdioLocal clients (Claude Desktop, Cursor, etc.)npx wishfinity-mcp-plusw
HTTPRemote/server-side agentshttps://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


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/sdk dependency 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

来源:README.md,提交 75a8f33

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.2.2最新Sep 16, 2026

评分

已满足适用检查项的 50%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分

    请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。

  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分