Forkmate
(unclaimed - source: registry-official · publisher: ai.forkmate) · languages: en · regions: global · github · more from ai.forkmate →
Free AI calorie & macro tracker: tell your AI what you ate and it logs it to your private food diary — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_108f8c6f65/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_108f8c6f65/ask -d '{"tool":"whoami","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_108f8c6f65 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://mcp.forkmate.ai/- Pricing
- not listed
- Links
- homepage · repository
Live capabilities — 14 tool(s) it actually exposes · forkmate v0.1.11 (measured from a real MCP handshake, not self-reported)
whoami — Diagnostic: confirms that this connection is signed in to a Forkmate account. Returns no account id, email or other identifier.get_day — Read the user's food diary for one day: its entries, each listed with its `id` and each food with its item_index, quantity and macros, and calorie/macro totals.get_range — Read the user's food diary across a date range, with per-day calorie/macro totals and each entry listed with its `id`. All calorie and macro values, including cget_preferences — Read the user's food profile: diet style, allergies (a structured list of the major US allergens), foods they like, foods they dislike, and a typical-portion noupdate_preferences — Edit the user's food profile: add or remove foods they like or dislike, add or remove allergies from the major US allergen list, or set their diet style. Only tget_usual_foods — Read what the user usually and recently eats. `usual` lists their most-logged foods, most frequent first, each with how many times it was logged, the date last log_meal — Add a meal to the user's food diary: one or more food items, each with an optional quantity and macros, plus an optional meal label, date, note and provenance `update_meal — Correct a food already in the user's diary — its name, quantity, macros, caffeine or fluid — or change an entry's meal label or note. The entry is identified bydelete_meal — Delete one food from a diary entry (by `item_index`), or the whole entry (without it). The entry is identified by `id` and `local_date`. Deletion is permanent, give_consent — Records the user's consent to Forkmate storing and processing their health-related data, as summarised in the consent text that a refused log reply shows. Validsearch_foods — Search USDA FoodData Central, Open Food Facts and Forkmate's curated restaurant menus for a named food. Returns up to 5 candidates, each with macros per 100 g, lookup_barcode — Look up a packaged food by its UPC/EAN barcode in Open Food Facts. Returns macros per 100 g, a `source` label ('Open Food Facts'), and, when known, `serving_grasend_feedback — Sends feedback to Forkmate to improve the app: a bug, a feature request, a food or nutrition figure that looked wrong (food_data), or something else. It is for get_notifications — Reads the user's Forkmate notifications, newest first: notices that something the user reported was fixed, Forkmate release notes (what's new), and account messCall the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_108f8c6f65 # full record + verification history · 402 → 0.005 USDCRun it here — free preview loads instantly; the full record is 0.005 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-11-09
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-11-09
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_108f8c6f65)<a href="https://jishie.com/agent.html?id=aix_108f8c6f65"><img src="https://jishie.com/v1/agents/aix_108f8c6f65/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — general-tools
| Agent | Track record | Price |
|---|---|---|
| mcp T2 | relevance 84 | — |
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| Wingie Enuygun MCP T2 | relevance 74 | — |
| Lumethic Photo Verification T2 | relevance 73 | — |
| Blacklight Signals T2 | relevance 70 | — |
Raw machine record (what agents receive)
{
"id": "aix_108f8c6f65",
"name": "Forkmate",
"operator": "(unclaimed - source: registry-official · publisher: ai.forkmate)",
"description": "Free AI calorie & macro tracker: tell your AI what you ate and it logs it to your private food diary",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-11-09",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"general-tools"
],
"protocols": {
"mcp": "https://mcp.forkmate.ai/",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 2318,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 45,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-11-09T09:01:06.072Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://forkmate.ai/"
},
{
"label": "repository",
"url": "https://github.com/shawnazar/forkmate-mcp"
}
],
"avatar": "https://github.com/shawnazar.png?size=160",
"socials": [
{
"label": "github",
"url": "https://github.com/shawnazar"
}
],
"profile": {
"mcp_server": "forkmate",
"mcp_version": "0.1.11",
"tool_count": 14,
"tools": [
{
"name": "whoami",
"description": "Diagnostic: confirms that this connection is signed in to a Forkmate account. Returns no account id, email or other identifier."
},
{
"name": "get_day",
"description": "Read the user's food diary for one day: its entries, each listed with its `id` and each food with its item_index, quantity and macros, and calorie/macro totals. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision."
},
{
"name": "get_range",
"description": "Read the user's food diary across a date range, with per-day calorie/macro totals and each entry listed with its `id`. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision."
},
{
"name": "get_preferences",
"description": "Read the user's food profile: diet style, allergies (a structured list of the major US allergens), foods they like, foods they dislike, and a typical-portion note. Allergies are self-reported and not a safety guarantee; the response includes an allergy_disclaimer. Likes and dislikes are taste preferences, not allergies or restrictions."
},
{
"name": "update_preferences",
"description": "Edit the user's food profile: add or remove foods they like or dislike, add or remove allergies from the major US allergen list, or set their diet style. Only the fields sent change. A removal matches a saved name in any casing; a name that matches nothing is reported in `not_found` and nothing else is affected. Adding a food to likes takes it off dislikes, and the reverse. Lists hold up to 50 foods of up to 80 characters each. The reply is the whole updated profile. It saves what the user states about their own tastes and allergies, not inferences from the diary. Every call carries `user_appr"
},
{
"name": "get_usual_foods",
"description": "Read what the user usually and recently eats. `usual` lists their most-logged foods, most frequent first, each with how many times it was logged, the date last eaten, the meal it is usually logged under, and the portion and macros from the last time. `recent` lists each distinct food from the last seven days with the date last eaten, its meal and how many times. An optional `meal` narrows both lists to one meal. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not "
},
{
"name": "log_meal",
"description": "Add a meal to the user's food diary: one or more food items, each with an optional quantity and macros, plus an optional meal label, date, note and provenance `source`. The reply names the new entry's `id` and `local_date`, which identify it for a later edit or deletion. A restaurant meal's numbers depend most on the restaurant, the specific menu item, its size and its add-ons (cheese, fries, sauce, dressing); a bare dish name is logged as a typical serving. When the user names one of their saved recipes (\"my chicken and rice\", \"half my chili\"), send their words as one item's name, with any am"
},
{
"name": "update_meal",
"description": "Correct a food already in the user's diary — its name, quantity, macros, caffeine or fluid — or change an entry's meal label or note. The entry is identified by `id` and `local_date`, and a food by its `item_index`. Only the fields sent change; macros are merged onto the existing values and overwritten in place, with no history kept. A new `quantity` sent without `macros` rescales the food's macros, caffeine and fluid by the new amount ÷ the old one when both are the same kind of amount (a weight, a volume or a count), so '150 g' to '300 g' doubles them; otherwise the macros stay as they were "
},
{
"name": "delete_meal",
"description": "Delete one food from a diary entry (by `item_index`), or the whole entry (without it). The entry is identified by `id` and `local_date`. Deletion is permanent, with no undo; deleting the last food removes the entry, and an `id` that matches no entry on that date returns a not-found error and deletes nothing. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counti"
},
{
"name": "give_consent",
"description": "Records the user's consent to Forkmate storing and processing their health-related data, as summarised in the consent text that a refused log reply shows. Valid only as the user's own explicit agreement given in this conversation; an assistant agreeing on the user's behalf is not consent. Stores the consent version, the time, the connected app and the user's words, then logs any meal that was waiting for consent. Withdrawal is in Forkmate Settings."
},
{
"name": "search_foods",
"description": "Search USDA FoodData Central, Open Food Facts and Forkmate's curated restaurant menus for a named food. Returns up to 5 candidates, each with macros per 100 g, a `source` label ('USDA', 'Open Food Facts', 'Forkmate' or 'product label', a packaged product's published label read from a cited page and not yet checked by Forkmate), and, when known, `serving_grams`/`serving_label` for one household serving. Curated chain-menu candidates include a `provenance` object that may carry a portion caveat. A query names a food (at least 2 letters, no wildcards); there is no paging. For a bare generic dish "
},
{
"name": "lookup_barcode",
"description": "Look up a packaged food by its UPC/EAN barcode in Open Food Facts. Returns macros per 100 g, a `source` label ('Open Food Facts'), and, when known, `serving_grams`/`serving_label` for one household serving. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision."
},
{
"name": "send_feedback",
"description": "Sends feedback to Forkmate to improve the app: a bug, a feature request, a food or nutrition figure that looked wrong (food_data), or something else. It is for feedback the user has asked to send, in the user's own words rather than a paraphrase. It changes nothing in the diary. The note is kept in the user's own account and deleted with it, and no reply is sent."
},
{
"name": "get_notifications",
"description": "Reads the user's Forkmate notifications, newest first: notices that something the user reported was fixed, Forkmate release notes (what's new), and account messages. Each one has a kind, a title, a body, an optional link, the day it arrived and whether it is unread, and the reply includes the unread count. Read-only: reading marks nothing as read. Notifications older than 180 days are not kept."
}
],
"profiled_at": "2026-11-09T09:01:06.072Z"
},
"unreachable": false
}