Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Unofficial Fitatu calorie counter: read and log food, weight, water and workouts.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
FITATU_SESSIONNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"fitatu-api": {
"command": "uvx",
"args": [
"fitatu-api",
"mcp"
],
"env": {
"FITATU_SESSION": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add fitatu-api --env FITATU_SESSION=your-value -- uvx fitatu-api mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"fitatu-api": {
"command": "uvx",
"args": [
"fitatu-api",
"mcp"
],
"env": {
"FITATU_SESSION": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"fitatu-api": {
"type": "stdio",
"command": "uvx",
"args": [
"fitatu-api",
"mcp"
],
"env": {
"FITATU_SESSION": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
FITATU_SESSION envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Jezue, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.6.0) llegó al registro hace 22 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Starreel
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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):
Solo se muestra el principio; lee el resto en el repo