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wishfinity-mcp-plusw

@wishfinity/wishfinity-mcp-plusw
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0 Stars 1 次浏览 wishfinity 更新于 2026-08-23

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.

npm version

# 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

  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

| 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


# 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

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