io.github.mcp-dir/dieta-mcp
repo:https://github.com/mcp-dir/dieta-mcp
Nutrition tracking by Dieta.ai. Read your food log with macros (calories, protein, carbs, fat, fiber
- transport:
- remote
- credential class:
- unreachable
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- authenticateshallow
MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.
- connectshallow
Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
- dietaai_diabetesshallow
Configurações/perfil de diabetes do usuário (bloco user_diabetes).
- dietaai_diaryshallow
Resumo do diário (journal) de um dia, no formato YYYY-MM-DD.
- dietaai_diary_logsshallow
Linhas históricas de um track do diário (ex.: série de glicose). diaryId é obrigatório; start_range_date e end_range_date filtram o intervalo quando ambos são informados.
- dietaai_diary_schemeshallow
Definições dos itens de diário do usuário (as faixas/tracks que ele acompanha, ex.: glicose).
- dietaai_foodsshallow
Consulta o log de alimentos do usuário com os macros. Use date para um único dia (YYYY-MM-DD) OU start_date/end_date para um intervalo (máx 31 dias). Retorna os itens por refeição e os totais do dia (kcal, proteína, carbo, gordura, fibra, sódio, água).
- dietaai_goalsshallow
Metas nutricionais do usuário (calorias, proteína, carbo, gordura, água, fibra e metas customizadas). Compare com os totais de dietaai_foods para avaliar a aderência.
- dietaai_integrationshallow
Ponte HTTP para a API oficial de um wearable ligado à conta (Whoop, Strava ou Oura). O path segue a doc do fornecedor, ex.: Whoop "v1/cycle", Strava "api/v3/athlete", Oura "v2/usercollection/daily_activity". O vínculo OAuth é feito uma vez no app Dieta.ai.
- dietaai_libre_datashallow
Dados de glicose do LibreView (Libre). Body opcional, igual ao que o app envia após conectar.
- dietaai_logshallow
Registra uma refeição enviando texto e/ou a URL de uma foto pro mesmo pipeline de IA do chat do app (reconhece alimentos e calcula macros). Pelo menos um de prompt ou imageUrl é obrigatório. É fire-and-forget (retorna aceito, o processamento é assíncrono).
- dietaai_sibionics_datashallow
Dados de glicose do Sibionics (gráfico). Body opcional, passthrough.
- dietaai_sibionics_glucoseshallow
Glicose do dispositivo Sibionics. O inviteId vem do perfil do usuário, não é passado pelo cliente.
- dietaai_subscriptionshallow
Dados da assinatura do usuário no Dieta.ai.
- dietaai_usershallow
Perfil básico do usuário: nome, email, userId, fuso horário, idioma e data de criação.
- marketplaceshallow
The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
- report_bugshallow
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
- show_versionshallow
Show the current MCP platform and adapter versions.
- toolkit_infoshallow
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
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