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.

Product Hunt MCP Server for VS Code Copilot 3 tools — connect in under 2 minutes

Name: Product Hunt
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 3 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Product Hunt and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "product-hunt": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Product Hunt MCP Server

Connect your Product Hunt account to any AI agent and track the latest startups, tools, and tech trends without leaving your workspace.

GitHub Copilot Agent mode brings Product Hunt data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 3 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Daily Leaderboard — Fetch the top upvoted products trending right now, complete with their taglines and URLs
Search Products — Search the Product Hunt database for specific tools or explore categories (e.g., "AI", "developer tools", "newsletters")
Product Deep Dives — Retrieve detailed information on any product including full descriptions, upvote counts, review scores, maker profiles, and direct website links

The Product Hunt MCP Server exposes 3 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Product Hunt to VS Code Copilot via MCP

Follow these steps to integrate the Product Hunt MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Product Hunt

Ask Copilot: "Using Product Hunt, help me...". 3 tools available

Why Use VS Code Copilot with the Product Hunt MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Product Hunt through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Product Hunt + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Product Hunt MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Product Hunt MCP Tools for VS Code Copilot (3)

These 3 tools become available when you connect Product Hunt to VS Code Copilot via MCP:

daily_leaderboard

It returns a list of products with their taglines, vote counts, and URLs. Fetches the current daily leaderboard of products from Product Hunt

product_details

You can get the product ID from the leaderboard or search results. Retrieves detailed information about a specific product by its ID

search_products

g., "AI", "productivity", "marketing"). Searches for products on Product Hunt by keyword or name

Example Prompts for Product Hunt in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Product Hunt immediately.

"Show me the top 5 products currently leading the Product Hunt daily leaderboard."

"Search Product Hunt for new coding tools."

"Pull the detailed info and maker list for the second product on the leaderboard."

Troubleshooting Product Hunt MCP Server with VS Code Copilot

Common issues when connecting Product Hunt to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Product Hunt + VS Code Copilot FAQ

Common questions about integrating Product Hunt MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.