Compare two cities for a household

Compare two cities for one household: take-home pay, full cost breakdown, the equivalent target salary needed to match source net cash, non-cash lifestyle delta

liveverifiedunknown~5s typical

mcpprobedcityparity—cost-of-living

$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-com-cityparity-cityparity /compare_cities for me.

Input

Field	Type	Description
source_city*	string	City slug for the user's current city. Use list_cities to discover valid slugs (e.g. 'nyc'
target_city*	string	City slug for the destination city.
gross_salary*	number	User's annual gross salary in the SOURCE city's local currency (e.g. USD for Seattle, NOK
household	object	Family structure: working-age partner and dependent children. Omit for a single person wit
living	object	Housing and spending assumptions. Omit to use defaults: rent, 2 bedrooms, typical spending
advanced	object	Optional fine-tuning: retirement contribution, age bracket, trips home, transit mode, and
score_weights	object	Override the composite-score weights. Defaults: financial 30, healthcare 20, vacation 15,

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-com-cityparity-cityparity","endpoint":"/compare_cities","input":{"source_city":"...","target_city":"...","gross_salary":1}}'

cli

npx cracked-ai run -p mcp-com-cityparity-cityparity -e /compare_cities -i '{"source_city":"...","target_city":"...","gross_salary":1}'

mcp

run_tool({ provider: "mcp-com-cityparity-cityparity", endpoint: "/compare_cities", input: {"source_city":"...","target_city":"...","gross_salary":1} })

Try it

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