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Point Hacks MCP App

Compare card offers

Category
Pending
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

The Point Hacks MCP App helps you discover and compare current Australian credit card and frequent flyer offers with sign-up bonuses, annual fees, minimum spend, earn rates, and estimated points, all without leaving ChatGPT. Ask ChatGPT to compare cards offers for Qantas or Velocity Points, list current Point Hacks card offers, or open a detailed preview of a specific card. Interactive views let you filter the catalog, browse card offers one at a time, and open Point Hacks card guides on www.pointhacks.com.au. Tools: • Compare Australian credit cards — browse card offers with filters and estimated points • Credit card offer details — single-card preview UI with guide link • List Australian credit card offers — catalog with guideUrl for each card.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-09-01
Tool count
3
Geography
US

ChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.
Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Point Hacks MCP App has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

3 tools agents can invoke

Point Hacks MCP App FAQ
How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.