mcp-product-hunt-launches-feed

Product Hunt Launches Feed MCP Server

An MCP server for the Mamba Labs Product Hunt Daily Launches with Maker Domains actor on Apify. Pick the days, and get one row per Product Hunt launch with the maker names, the product's website and company domain, its X and LinkedIn links, votes, rank, and topics.

What's Inside

• What it does
• Quick start
• Prerequisites
• Example prompts
• Tool
• Inputs
• Pricing
• Full actor documentation
• License

What it does

The actor reads Product Hunt's public daily launch pages and each launch's product page through the Apify proxy, with robots.txt obeyed. The public daily page shows the day's top featured launches. With your own Product Hunt developer token (product_hunt_token), the daily lists come from the official Product Hunt API instead, and include_unfeatured adds the launches Product Hunt did not feature. Filter by topic, keyword, or minimum votes, and use only_new on a schedule. Each day also returns one free summary row.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-product-hunt-launches-feed": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-product-hunt-launches-feed"],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The get_product_hunt_launches tool appears.

Prerequisites

• Node.js 18 or newer.
• An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.

Example prompts

• "List yesterday's Product Hunt launches in AI with their company domains and makers."
• "Which developer tools launched on Product Hunt this week with more than 200 votes?"
• "Get the launches of 2026-10-27 into a table."

Tool

get_product_hunt_launches. One tool. Example arguments:

{
  "days_back": 1,
  "topics": [
    "Artificial Intelligence"
  ],
  "max_launches": 50
}

Inputs

Every buyer facing input of the actor. Omitted inputs take the actor's own defaults.

Input	Type	Required	Description
days_back	integer	no	The last N full days, Pacific time. Default 1.
dates	array	no	Specific days as YYYY-MM-DD, up to 31.
include_today	boolean	no	Also read today's list. Default false.
topics	array	no	Product Hunt topics by name or slug.
keywords	array	no	Words to find in the name, tagline, or topics.
min_votes	integer	no	Minimum votes. Default 0.
max_launches	integer	no	Launch rows per run. Default 100.
open_product_pages	boolean	no	Read product pages for website, domain, makers, socials. Default true.
only_new	boolean	no	Skip launches an earlier run returned. Default false.
state_key	string	no	Name for the only new launches memory.
product_hunt_token	string	no	Your own Product Hunt developer token, optional.
include_unfeatured	boolean	no	With your token, add unfeatured launches. Default false.
max_charge_usd	string	no	Optional cost cap for the run.

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

Event	Free plan	Bronze	Silver	Gold
launch-row, per launch delivered	$0.00425	$0.004038	$0.003825	$0.003613
apify-actor-start, per run start	$0.002	$0.002	$0.002	$0.002

Day summary rows, input refusal rows, launches whose product page could not be read, and launches skipped with only_new are free. Mamba Labs pays the platform costs of the run, Apify proxy traffic included.

Full actor documentation

apify.com/mambalabs/product-hunt-launches-feed

License

MIT. See LICENSE.