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Product Hunt MCP Server for Google ADKGive Google ADK instant access to 12 tools to Get My Profile, Get Post Details, Get Product Reviews, and more

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Product Hunt as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The Product Hunt app connector for Google ADK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="product_hunt_alternative_agent",
    instruction=(
        "You help users interact with Product Hunt "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)
Product Hunt
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 take full control of your tech discovery and market intelligence through natural conversation. Product Hunt is the premier platform for launching new products, and this integration allows you to retrieve post metadata, monitor trending launches, and analyze maker activity directly from your chat interface.

Google ADK natively supports Product Hunt as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Product & Launch Orchestration — List featured and trending posts from the homepage and retrieve detailed product metadata programmatically to ensure you never miss an innovation.
  • Search & Discovery Intelligence — Perform targeted searches for specific products or niches to maintain a clear overview of the tech landscape via natural language.
  • Topic & Collection Control — Access and monitor curated collections and specific tech topics directly from the AI interface to drive better research efficiency.
  • Maker & Review Deep-Dive — Retrieve granular details for makers and access user reviews to understand community sentiment and product quality using simple AI commands.
  • Operational Monitoring — Track system responses and manage GraphQL metadata to ensure your discovery workflows are always optimized.

The Product Hunt MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Product Hunt tools available for Google ADK

When Google ADK connects to Product Hunt through Vinkius, your AI agent gets direct access to every tool listed below — spanning product-discovery, tech-trends, market-intelligence, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_my_profile

Get account info

get_post_details

Get product info

get_product_reviews

Read user reviews

get_topic_info

Get topic details

list_curated_collections

List featured collections

list_discovery_topics

List product categories

list_featured_posts

List front-page products

list_new_launches

List latest products

list_product_makers

Get makers info

list_trending_products

List top products

list_user_goals

Check maker goals

search_products

Find products

Connect Product Hunt to Google ADK via MCP

Follow these steps to wire Product Hunt into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 12 tools from Product Hunt via MCP

Why Use Google ADK with the Product Hunt MCP Server

Google ADK provides unique advantages when paired with Product Hunt through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Product Hunt

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Product Hunt tools with BigQuery, Vertex AI, and Cloud Functions

Product Hunt + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Product Hunt MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Product Hunt and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Product Hunt tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Product Hunt regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Product Hunt

Example Prompts for Product Hunt in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Product Hunt immediately.

01

"Show me today's top products on Product Hunt."

02

"Show me the top trending products on Product Hunt today with their upvote counts and maker info."

03

"Search for AI developer tools launched this month with more than 200 upvotes."

Troubleshooting Product Hunt MCP Server with Google ADK

Common issues when connecting Product Hunt to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Product Hunt + Google ADK FAQ

Common questions about integrating Product Hunt MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.