producthunt_search

Search for products, users, or launches on Product Hunt. Performs a full-text Product Hunt search and returns matching products, users, or launches.

SERVERCrawlora SOURCEcrawlora-mcp

Low RISK CLASS

Category Read

Parameters 51 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/crawlora-mcp/producthunt-search.md

WHAT IT DOES

What producthunt_search does on Crawlora

AI agents call producthunt_search to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`page`	integer	—	Page number (1-based)
`type`	string	—	Result type: product (default), user, or launch
`query`	string	Yes	Search keywords
`topics`	string	—	Launch search only: comma-separated topic slugs
`featured`	boolean	—	Launch search only: featured launches only

Parameters from the server's own tool schema.

RISK

Why producthunt_search is rated Low

Even though producthunt_search only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs producthunt_search safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For producthunt_search, this is the rule to start with:

producthunt_search Allowed

producthunt_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "producthunt_search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every producthunt_search call is checked against it from then on.

FAQ

Questions about producthunt_search

What does the producthunt_search tool do? +

Search for products, users, or launches on Product Hunt. Performs a full-text Product Hunt search and returns matching products, users, or launches. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.

What parameters does producthunt_search accept? +

producthunt_search accepts 5 parameters: page, type, query, topics, featured. Required: query. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on producthunt_search? +

Register the Crawlora MCP server in PolicyLayer and add a rule for producthunt_search: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crawlora. Nothing to install.

What risk level is producthunt_search? +

producthunt_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit producthunt_search? +

Yes. Add a rate_limit block to the producthunt_search rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block producthunt_search completely? +

Set action: deny in the PolicyLayer policy for producthunt_search. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides producthunt_search? +

producthunt_search is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Crawlora, and thousands of servers like it.

This server

All 728 Crawlora tools →

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search_torrents on M-Team MCP Server →aiva_search_customers on AIVA MCP Server →search_channel on YouTube MCP Server →hybrid_search on Azure AI Agent Service + Azure AI Search MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →