Product Hunt MCP Server — Launches, Upvotes & Makers

Product Hunt MCP Server

MCP server that gives AI agents access to Product Hunt data — today's trending launches, product details, and keyword search. Returns product names, taglines, upvotes, topics, maker profiles, and website links.

Connect from Claude Desktop, Cursor, ChatGPT, or any MCP-compatible client.

Tools

Tool	Description	Response time
get_leaderboard	Today's trending product launches with upvotes and makers	~2-3s
get_product	Look up a single product by slug or name	<1s
search_products	Search products by keyword or topic	<1s

How to connect

Claude Desktop

Add to your claude_desktop_config.json:

{
    "mcpServers": {
        "product-hunt": {
            "url": "https://actors-mcp-server.apify.actor/mcp?actorId=zadexinho/product-hunt-mcp-server&token=YOUR_APIFY_TOKEN"
        }
    }
}

Cursor

Add to MCP settings:

{
    "mcpServers": {
        "product-hunt": {
            "url": "https://actors-mcp-server.apify.actor/mcp?actorId=zadexinho/product-hunt-mcp-server&token=YOUR_APIFY_TOKEN"
        }
    }
}

Python SDK

from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

url = "https://product-hunt-mcp-server.apify.actor/mcp"
headers = {"Authorization": "Bearer YOUR_APIFY_TOKEN"}

async with streamablehttp_client(url, headers=headers) as (r, w, _):
    async with ClientSession(r, w) as session:
        await session.initialize()
        result = await session.call_tool(
            "get_leaderboard", {"max_products": 10}
        )
        print(result)

Tool reference

get_leaderboard

Get today's trending product launches.

Parameter	Type	Default	Description
max_products	integer	20	Maximum products to return (1-50)
category	string	—	Category slug to filter (e.g. "artificial-intelligence")

Example response:

{
    "productCount": 10,
    "products": [
        {
            "name": "Figr AI",
            "slug": "figr-ai",
            "tagline": "Product-aware AI that thinks through UX",
            "upvotes": 439,
            "commentsCount": 82,
            "topics": ["User Experience", "Artificial Intelligence"],
            "makers": [{"name": "Moksh Garg", "username": "moksh_garg"}],
            "url": "https://www.producthunt.com/posts/figr-ai",
            "websiteUrl": "https://figr.design"
        }
    ]
}

get_product

Look up a single product by slug or name.

Parameter	Type	Required	Description
product	string	Yes	Product slug (e.g. "figr-ai") or name (e.g. "Figr AI")

search_products

Search products by keyword.

Parameter	Type	Default	Description
query	string	—	Search term (required)
max_results	integer	10	Maximum results (1-50)
featured_only	boolean	false	Only return featured products

How much does it cost?

This actor uses pay-per-event pricing. You are charged per tool call.

Price per tool call	Price per 100 calls
$0.005	$0.50

Platform compute is included when running in standby mode.

Use cases

• Ask Claude "What launched on Product Hunt today?" and get structured data back.
• Build AI workflows that monitor trending products in specific categories.
• Research competitors by searching for products in your space.
• Feed product launch data into automated newsletters or alerts.
• Look up any Product Hunt product by name for quick AI-powered research.

FAQ

How fast are responses?

Search and product lookups respond in under 1 second. Leaderboard requests take 2-3 seconds because they enrich each product with additional metadata.

Do I need a Product Hunt account?

No. The MCP server accesses publicly available data.

What data is included?

Product names, taglines, descriptions, upvotes, comment counts, topics, maker profiles (name, username, headline, social links), website URLs, and thumbnail images.

How is this different from the Product Hunt Scraper?

The scraper is for batch data collection — scraping full leaderboards with historical dates and deep enrichment. The MCP server is for real-time AI agent access — quick lookups and searches during conversations.