Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Unofficial Fitatu calorie counter: read and log food, weight, water and workouts.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
FITATU_SESSIONDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"fitatu-api": {
"command": "uvx",
"args": [
"fitatu-api",
"mcp"
],
"env": {
"FITATU_SESSION": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add fitatu-api --env FITATU_SESSION=your-value -- uvx fitatu-api mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"fitatu-api": {
"command": "uvx",
"args": [
"fitatu-api",
"mcp"
],
"env": {
"FITATU_SESSION": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"fitatu-api": {
"type": "stdio",
"command": "uvx",
"args": [
"fitatu-api",
"mcp"
],
"env": {
"FITATU_SESSION": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
FITATU_SESSION envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Jezue bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.6.0) kam vor 22 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, AvaHR
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
An unofficial Python client for the API of Fitatu, the calorie counter, built to be driven by AI agents and scripts. It reads and writes the food diary, activities, body measurements and water, reads and sets goals, and reads summaries and the food catalog. FitatuTools turns the diary into tools a language model can call. The session handling follows python-garminconnect: log in once, keep one session file, let the client refresh it.
Unofficial. This project is not affiliated with or endorsed by Fitatu Sp. z o.o. The API
was reverse-engineered from the Fitatu apps and can change without notice. Automated access
may break Fitatu's Terms of Service; check them, and use the library only with your own
account and at your own risk. The MIT licence covers this code, not the Fitatu service, its
API or its data.
Python 3.11 or newer; the only dependency is requests (and tzdata on Windows).
pip install fitatu-api # the library and the fitatu-api command
pip install "fitatu-api[mcp]" # plus fitatu-mcp, the MCP server pip install "git+https://github.com/Jezue/fitatu_library" # unreleased changes from main
To work on the library or run its tests offline, clone it instead: git clone https://github.com/Jezue/fitatu_library && cd fitatu_library && pip install -e ".[dev]".
fitatu-api login # asks for e-mail and password, writes ~/.fitatu/session.json
Signed up with Apple or Facebook? Then the account has no password: copy the session from the web app with fitatu-api import-session instead, as described under Authentication & session file.
from datetime import date
from fitatu_api import FitatuApiClient
with FitatuApiClient.from_session() as client: # closes the HTTP connections at the end user_id = client.auth.fitatu_user_id today = date.today()
day = client.planner.get_day(user_id, today) for meal_key, meal in day["dietPlan"].items(): for row in meal["items"]: print(meal_key, row["name"], row["energy"], row["planDayDietItemId"])
egg = client.search_food("jajko kurze", limit=1)[0] # search rows carry the id as foodId added = client.planner.add_product_to_day_meal( user_id, today, meal_type="breakfast", product_id=egg["foodId"], measure_id=egg"measure", measure_quantity=2, # 2 of the hit's measure ) print("added row", added["row_id"])
How writes, row ids and removals work: docs/PLANNER.md.
To copy a catering diet's menu into the diary (safe to run again), use catering_sync.py from the repository: Importing a catering menu.
FitatuTools exposes 47 tools (read the day, search food, log food, weight, water, workouts, private recipes and products, ...) with JSON Schema inputs and read-only / destructive / idempotent annotations. call() never raises: it returns {"ok": true, "data": ...} or {"ok": false, "error": {"error_type", "message", "retryable", "hint", ...}}, so the model can read what went wrong. SYSTEM_PROMPT is the recommended system prompt: the rules the model needs on top of the tool descriptions (read before writing, users' own meal names, data.ok, confirmations). The model asks get_today for the date, in the account's time zone.
import json
import anthropic
from fitatu_api import FitatuTools from fitatu_api.agent import READ_ONLY_TOOLS, SYSTEM_PROMPT, anthropic_tools # openai_tools() for OpenAI
client = anthropic.Anthropic() messages = [{"role": "user", "content": "How many kcal did I eat today?"}]
with FitatuTools.from_session(tools=READ_ONLY_TOOLS) as tools: while True: response = client.messages.create( model="claude-opus-5-5", max_tokens=16000, system=SYSTEM_PROMPT, tools=anthropic_tools(READ_ONLY_TOOLS), messages=messages, ) messages.append({"role": "assistant", "content": response.content}) if response.stop_reason != "tool_use": break results = [ { "type": "tool_result", "tool_use_id": block.id, "content": json.dumps(tools.call(block.name, block.input)), } for block in response.content if block.type == "tool_use" ] messages.append({"role": "user", "content": results}) if response.stop_reason != "end_turn": # max_tokens or refusal: the answer is cut or missing raise RuntimeError(f"the model stopped early: {response.stop_reason}") print("".join(block.text for block in response.content if block.type == "text"))
The write tools (log food, update, move, copy and delete rows, weight, water, workouts, private recipes and products) need a loop that asks the user before destructive calls; it is in docs/AGENTS.md, with the tool table, the calls never to expose (session tokens, catalog writes), how to make writes safe to repeat, what to do per error_type, the OpenAI variant, long-running hosts, and how to try the tools without an account against the offline test backend.
fitatu-mcp serves the same tools to Claude Code, Claude Desktop and other MCP hosts over stdio, with SYSTEM_PROMPT as its instructions and three Polish slash commands (podsumowanie_dnia, przeglad_tygodnia, zaloguj_posilek):
pipx install "fitatu-api[mcp]"
fitatu-api login claude mcp add fitatu --scope user -- fitatu-mcp # fitatu-mcp --read-only: the read tools only
fitatu-mcp --http serves the same tools over HTTP, with a token, for n8n, another computer or Docker (the repository has a Dockerfile): docs/AGENTS.md.
Without an account, fitatu-mcp --demo (or FitatuTools.demo()) serves a small made-up diary kept in memory. For Claude Desktop, each GitHub release has fitatu- .mcpb, installed with a double click (log in with fitatu-api login first). Without installing anything, uvx --from "fitatu-api[mcp]" fitatu-mcp runs the server. It is listed in the MCP Registry as io.github.Jezue/fitatu-api (server.json). For Hermes Agent and other hosts that read Agent Skills, skills/fitatu-diary/SKILL.md tells the agent how to set the server up and use its tools well.
The host's permission prompt is the confirmation step, so keep it on for the destructive tools. Claude Desktop, uvx and what the server does: docs/AGENTS.md.
| Area | Client (FitatuApiClient) | Agent tools |
|---|---|---|
| Food diary | client.planner: read a day, add products, recipes, custom rows and search hits, update, move, copy, remove; the day's note | get_day, add_food, add_foods, add_custom_item, update_item, move_item, copy_meal, preview_removal, remove_items, set_note |
| Activities | planner.add_activity / remove_activity, client.activities (catalog, search, recent) | search_activity, add_activity, remove_activity |
| Foods | search_food, get_product_details, get_recipe, recipe catalog and its search, client.foods (favourites, recent) | search_food, search_recipes, get_recipe, find_by_barcode, get_food_measures, get_recent_foods, get_favorite_foods, set_favorite |
| The user's own foods | search_user_food, create_product, update_product, delete_product, create_recipe, update_recipe, delete_recipe | get_my_foods; create_food, update_food, delete_food and the recipe tools for the user's own private foods only |
| Measurements | client.measurements: weight and body sizes per day, history, charts | get_weight_history, get_body_measurements, get_measurement_history, log_weight, log_measurements |
| Water | client.water | get_water, set_water |
| Summary and export | client.summary: range totals, nutrient per day, top products, diary export | get_range_summary, get_progress, get_top_foods, get_report, get_shopping_list (worked out from the planned rows) |
| Fasting and habits | client.fasting (schemes, eating periods per day), client.habits (catalog, the user's habits, good days); read only | get_fasting, get_habits, get_good_days |
| Goals and settings | client.user_settings: targets, BMR/TMR, profile | get_targets, set_targets (the manual or automatic goal, macro split, glass size), get_profile (height, weight, goal, BMI, Premium; nothing that identifies the user) |
| Catalog writes | create_recipe(shared=True), set_product_proposal, duplicate cleanup | none, on purpose |
FitatuLibrary, which wraps most of these as *_via_api methods that return {"status": ...} instead of raising, is deprecated and will be removed in 1.0: for results that never raise use FitatuTools ({"ok": true, "data": ...}), otherwise the client. Every public call with its stability is listed in docs/API_REFERENCE.md.
| Free account | Premium | |
|---|---|---|
| Diary: read, log, update, move, copy, remove food, notes, activities, water, weight, body measurements | ✅ | ✅ |
Search, barcode, food measures, recipe search by words and max_energy_kcal, recipes in full, private recipes and products, favourites, recent foods | ✅ | ✅ |
Recipe search filters (min_protein_g, max_carbohydrate_g, max_cooking_time, diets, meal) and premium catalog recipes (get_recipe, get_food_measures, add_food, add_foods; the shopping list leaves out their ingredients) | ❌ "needs Fitatu Premium": the tools follow the app | ✅ |
Goals: read and set (get_targets, set_targets), progress (get_progress), reports (get_report), range totals (get_range_summary) | ✅ (progress: a request per day, at most 31 days) | ✅ |
| Weight and body measurement history, profile, fasting and habits (read), shopping list | ✅ | ✅ |
Top foods (get_top_foods, summary.get_top_products()) | ❌ 403: needs Fitatu Premium | ✅ |
Diary export (fitatu-api export, summary.export_diary()) | ❌ 403: "needs Fitatu Premium" | ✅ |
Protein / fat / carbohydrate day by day (summary.get_nutrient_by_day(); energy works on both) | ❌ 403 (get_progress reads around it) | ✅ |
Nearly everything works on an account without Fitatu Premium. Fitatu answers 403 without it to (checked live 2026-10-15):
Nur der Anfang wird gezeigt; den Rest findest du im Repo