log meal

Log what the user ate to their food diary. Parse the user's free text into items and, when you can, include estimated macros per item for accuracy. SAFETY: all

liveunknown~5s typical

mcpforkmate

$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-ai-forkmate-forkmate /log_meal for me.

Input

Field	Type	Description
items*	array
meal	string (breakfast \| lunch \| dinner \| snack \| other)
at	string	ISO-8601 instant the meal was eaten; defaults to now.
local_date	string	YYYY-MM-DD diary date; defaults to the user's local date (from their timezone). Pass this
note	string
source	string (client \| usda \| off \| usda-index \| mfp-import \| manual)	Optional provenance for these items. After search_foods/lookup_barcode, pass the candidate

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-ai-forkmate-forkmate","endpoint":"/log_meal","input":{"items":[]}}'

cli

npx cracked-ai run -p mcp-ai-forkmate-forkmate -e /log_meal -i '{"items":[]}'

mcp

run_tool({ provider: "mcp-ai-forkmate-forkmate", endpoint: "/log_meal", input: {"items":[]} })

Try it

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