Search credit cards

Filter the US credit-card dataset by product type, rewards currency (program name or kind), issuer, annual fee, foreign-transaction fee, signup-bonus value, cre

liveverifiedunknown~5s typical

mcpprobedcreditcards.best

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-best-creditcards-mcp /search_cards for me.

Input

Field	Type	Description
productType	array
rewardsCurrencyType	array	Kind of loyalty currency earned. Use this for airline or hotel cards; it is not a productT
rewardsCurrency	string	Program name, partial match, by its own name: 'AAdvantage' not 'American', 'SkyMiles' not
issuer	string	Issuer name, partial match (e.g. 'Chase')
maxAnnualFee	number
noForeignTransactionFee	boolean
minSignupValueUsd	number	Minimum estimated signup-bonus cash value
creditBand	string (excellent \| good \| fair \| poor \| none)	Only cards a user with this credit band typically qualifies for
category	string	Curated slug, e.g. 'best-cash-back-credit-cards'
isBusiness	boolean
verified	string	Defaults to true (issuer-verified only). false = only the unverified stubs seeded from the
sort	string (name \| annualFee \| signupValue \| baseRate)
limit	integer	Max cards to return (default 25). Check `truncated` before treating the list as complete.

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-best-creditcards-mcp","endpoint":"/search_cards","input":{}}'

cli

npx cracked-ai run -p mcp-best-creditcards-mcp -e /search_cards -i '{}'

mcp

run_tool({ provider: "mcp-best-creditcards-mcp", endpoint: "/search_cards", input: {} })

Try it

Runs against your signed-in workspace balance. Sign in if you have not.