producthunt_leaderboard

Retrieve Product Hunt leaderboard. Fetches Product Hunt leaderboard data for daily, weekly, monthly, or yearly scopes via Product Hunt GraphQL.

SERVERCrawlora SOURCEcrawlora-mcp
Low RISK CLASS
Category Read
Parameters 90 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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

What producthunt_leaderboard does on Crawlora

AI agents call producthunt_leaderboard 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.

ParameterTypeRequiredDescription
day integer Daily day override
date string Anchor date in YYYY-MM-DD format. Used to derive missing year/month/day/week values.
week integer Weekly ISO week override
year integer Leaderboard year override
month integer Daily/monthly month override
order string Ranking order override. Defaults to scope rank enum.
scope string Leaderboard scope: daily, weekly, monthly, yearly
cursor string Pagination cursor
featured boolean Featured products only

Parameters from the server's own tool schema.

Why producthunt_leaderboard is rated Low

Even though producthunt_leaderboard 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.

Questions about producthunt_leaderboard

What does the producthunt_leaderboard tool do? +

Retrieve Product Hunt leaderboard. Fetches Product Hunt leaderboard data for daily, weekly, monthly, or yearly scopes via Product Hunt GraphQL. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.

What parameters does producthunt_leaderboard accept? +

producthunt_leaderboard accepts 9 parameters: day, date, week, year, month, order, scope, cursor, featured. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on producthunt_leaderboard? +

Register the Crawlora MCP server in PolicyLayer and add a rule for producthunt_leaderboard: 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_leaderboard? +

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

Can I rate-limit producthunt_leaderboard? +

Yes. Add a rate_limit block to the producthunt_leaderboard 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_leaderboard completely? +

Set action: deny in the PolicyLayer policy for producthunt_leaderboard. 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_leaderboard? +

producthunt_leaderboard 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.

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