+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.

... [View full README on GitHub](https://github.com/wishfinity/wishfinity-mcp-plusw#readme)