# Product Hunt MCP > Product Hunt pulls up top tech trends daily. It lets your AI agent search for specific tools, pull the current leaderboard of hot startups, or deep dive into a product’s full history using its ID. ## Overview - **Category:** social-network - **Price:** Free - **Tags:** product-discovery, startup-tracking, tech-news, market-research ## Description # Product Hunt MCP Server Your AI agent can tap directly into the core Product Hunt database using this server. You don't have to copy and paste links or manually check websites; your agent pulls all the market insights right where you are working. ## Daily Leaderboard Tracking When you need a quick pulse on what’s trending, use `daily_leaderboard`. This tool fetches the current top-voted products for the day. You'll get a list of the most hyped tech startups, complete with their taglines and direct URLs. It's perfect for keeping tabs on which new tools are catching attention *right now*. If you need to know what’s hot in the dev space or who just snagged some viral traction, this function tells you immediately. ## Searching by Keyword or Category If you're hunting for something specific—say, a tool for advanced video editing or anything related to 'AI infrastructure'—you use `search_products`. You can search the whole Product Hunt database using keywords, full product names, or broad categories. For instance, if your team is focused on productivity tools, simply tell your agent to look up that category, and it returns all relevant results. This function lets you drill down into huge swaths of tech without needing to browse pages manually. It's how you find the niche players outside the daily spotlight. ## Retrieving Full Product Details When you spot a tool you think is worth digging deeper, use `product_details`. You give it a unique Product Hunt ID, and this tool pulls every piece of comprehensive data available on that specific product. It's not just the description; it’s the full package. You get the complete product description itself, along with hard metrics like the total upvote count, the current review scores, and a list of the people who made it (the maker profile). Knowing these details lets you assess credibility quickly. For example, if a tool has a high number of votes but low reviews, your agent shows you that mismatch immediately. It's all about getting the granular data—you see exactly how many users are backing it and what they're saying in the comments. This server gives your AI client three distinct ways to analyze tech launches: checking today’s hype with the `daily_leaderboard`, scoping out a category using `search_products`, or doing deep-dive forensics on any single tool with `product_details`. You get market data streams and product histories, all without leaving your workspace. ## Tools ### daily_leaderboard Fetches the current top-voted products, giving you taglines and URLs for today's trending tech. ### search_products Searches Product Hunt by keyword or category to find tools related to a specific topic (e.g., 'productivity'). ### product_details Pulls the full product description, review scores, upvote count, and maker list for any given Product Hunt ID. ## Prompt Examples **Prompt:** ``` Show me the top 5 products currently leading the Product Hunt daily leaderboard. ``` **Response:** ``` Here are the top 5 trending products for today: 1. ACME AI — The ultimate AI agent builder (1.2k upvotes) 2. WidgetX — Create widgets seamlessly (950 upvotes) 3. SuperMail — Re-imagining your inbox (720 upvotes) Would you like me to fetch a deep dive description on any of these? ``` **Prompt:** ``` Search Product Hunt for new coding tools. ``` **Response:** ``` I searched for 'coding tools' and found 10 highly upvoted tools. Top results include CodeBolt (coding assistant) with 1200 upvotes, and TermX (cloud terminal) with 850 upvotes. Shall I detail their features? ``` **Prompt:** ``` Pull the detailed info and maker list for the second product on the leaderboard. ``` **Response:** ``` I've fetched the details for WidgetX: It's an open-source cross-platform UI builder. It has an average review of 4.9, 950 upvotes, and its direct URL is `widgetx.io`. The listed makers are John Doe and Sarah Lee. ``` ## Capabilities ### Fetch Daily Leaderboard Pulls a list of the most upvoted and trending products from Product Hunt for the current day. ### Search by Keyword or Category Searches the entire Product Hunt database using keywords, product names, or general categories (e.g., 'AI', 'dev tools'). ### Retrieve Full Product Details Gets comprehensive data on a specific tool—including descriptions, review scores, upvotes, and maker profiles—using its unique ID. ## Use Cases ### Monitoring Niche Competition A founder needs to know what the competition is launching this week. They ask their agent to run `daily_leaderboard` and then use `product_details` on the top three results. The agent returns a comparison brief, including upvotes and descriptions, so the founder knows exactly where to focus development. ### Finding New Open-Source Code A developer needs a new utility for their side project. They use `search_products` filtering by 'developer tools'. The agent returns ten results; the developer then asks the agent to run `product_details` on the top result to check its license and maker history. ### VC Due Diligence Quick Check A VC analyst has heard about a new sector (e.g., 'decentralized identity'). They use `search_products` with that keyword. The agent pulls the list, and the analyst can then ask for deep dives on specific candidates using `product_details`, getting instant metrics on traction. ### Summarizing Tech Trends A designer wants a report on top trends right now. They prompt their agent to run `daily_leaderboard` and ask the agent to summarize the themes, including the taglines and upvote counts for the top five products. ## Benefits - Track real-time trends with `daily_leaderboard`. You instantly see the top products, their upvote counts, and taglines—perfect for competitive analysis. - Scope out new ideas fast. Use `search_products` to filter by category (like 'AI') or keyword, giving you a focused list of potential tools in minutes. - Get deep specs with `product_details`. Instead of just seeing the title, you pull full descriptions, review scores, and maker names for instant vetting. - Stop juggling tabs. Your agent handles running multiple commands—first checking the leaderboard, then searching, and finally pulling details on a winner. - The data is always fresh. You're getting insights directly from Product Hunt’s live database through your AI client. ## How It Works The bottom line is you tell your AI client what kind of product information you need; it handles calling the Product Hunt API for you. 1. Subscribe to the server and enter your Product Hunt Developer Token. 2. Ask your AI client to run a specific tool (e.g., 'Check the daily leaderboard'). 3. The agent calls the appropriate `daily_leaderboard`, `search_products`, or `product_details` function, returning structured data. ## Frequently Asked Questions **How do I get started?** Subscribe, enter your API credentials (your Developer Token from the **Product Hunt API Dashboard**), and you're ready. No code, no setup, no webhooks — just connect and start exploring daily startup launches through your AI agent. **Can my AI agent create a summary brief of the top 3 startups launched today?** Yes. Ask your agent to fetch the daily leaderboard and pull the details of the top 3 items. It will return the product names, descriptions, upvote counts, maker names, and direct URLs — generating a complete morning brief on the tech ecosystem without opening a single browser tab. **What happens when I need to find the best AI tools launched recently?** Just tell your AI agent. It uses the search tool to query "AI" directly against the Product Hunt database, surfacing highly-rated matches with their taglines and upvotes instantly. You skip the doom-scrolling and go straight to evaluating the exact tools you are looking for. **Is this suitable for VC scouting workflows and competitive analysis?** Absolutely. Because your agent can pull deeply nested product details (including maker names, review scores, and direct website links) for any product ID, you get a comprehensive pulse on fresh competitors or investment opportunities immediately. Perfect for scouting teams building automated deal-flow monitors. **If I need to pull product data using `product_details`, how should my AI agent handle token expiration?** The system will throw an authentication error directly. You simply update your Product Hunt Developer Token in the Vinkius dashboard settings, and your agent can reconnect immediately without coding changes. **When I run `search_products`, are there any rate limits on how many keywords my agent can query?** Yes, API call volume is limited by Product Hunt. We recommend batching related searches or checking your usage dashboard for real-time quota status before running large data pulls. **What steps must I take to get detailed product information after using `daily_leaderboard`?** You need a Product ID from the leaderboard results. Your agent then passes that specific ID into the `product_details` tool; this structured handoff is what retrieves the full description and review scores. **Does the data retrieved via `product_details` include information about the product's open-source status?** Yes, the detailed output includes maker profiles and links. You can use this data to verify if a project is open source or list its associated development team members.