MCP server
Forkmate Official
ai.forkmate/forkmate
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Free AI calorie & macro tracker: tell your AI what you ate and it logs it to your private food diary
Working at last checkVerified publisher: forkmate.aiAbout 5,443 tokens per request once connected14 tools
https://mcp.forkmate.ai/
At a glance
- Type
- MCP server
- Publisher
- forkmate.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 14
- Token cost
- About 5,443 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http forkmate https://mcp.forkmate.ai/
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.forkmate] url = "https://mcp.forkmate.ai/"
Gemini CLI
{"mcpServers":{"forkmate":{"httpUrl":"https://mcp.forkmate.ai/"}}}
Cursor
{"mcpServers":{"forkmate":{"url":"https://mcp.forkmate.ai/"}}}
VS Code
{"servers":{"forkmate":{"type":"http","url":"https://mcp.forkmate.ai/"}}}
Antigravity
agy mcp add forkmate https://mcp.forkmate.ai/
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"forkmate","server_url":"https://mcp.forkmate.ai/","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"forkmate","server_url":"https://mcp.forkmate.ai/"}
Tools
delete_mealDeletes data · ~324 tokens
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 deletesget_day~197 tokens
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 aget_notifications~211 tokens
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 unreadget_preferences~131 tokens
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 preferget_range~208 tokens
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, nget_usual_foods~296 tokens
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 sgive_consent~244 tokens
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 thelog_meal~1164 tokens
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 numberslookup_barcode~228 tokens
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 Centrsearch_foods~438 tokens
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 andsend_feedbackSends messages · ~363 tokens
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 inupdate_meal~844 tokens
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 overwritupdate_preferences~726 tokens
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 elsewhoami~69 tokens
Diagnostic: confirms that this connection is signed in to a Forkmate account. Returns no account id, email or other identifier.
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