what it does
Save any product URL to your Wishfinity wishlist
about
Wishfinity is an official MCP server published by wishfinity that provides AI assistants with tools and capabilities via the Model Context Protocol. Save any product URL to your Wishfinity wishlist — organize, track, and share your favorite finds in one simple click. It is categorized under productivity, developer tools.
how to install
You can install Wishfinity in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Wishfinity is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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.
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
FAQ
- What is the Wishfinity MCP server?
- Wishfinity is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Wishfinity?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Wishfinity is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Wishfinity against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Wishfinity is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Wishfinity reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Wishfinity for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Wishfinity surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Wishfinity has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Wishfinity benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Wishfinity into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Wishfinity is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
