Remote MCP server to run your Atako AI agents: chat, projects, files, integrations and channels.
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 132 ms · Last checked
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Evidence for your next connection.
Independent measurements of remote MCP servers. Every observation has a timestamp.
Read-only probesMCP server · Code & DevOps
Nutrition tracking by Dieta.ai. Read your food log with macros (calories, protein, carbs, fat, fiber
1 failed · 8 not measured
Median of successful probes over 7 days
Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.
Tool definitions returned by this server
Independent monitoring
Responded
The server completed its last measured handshake. This is an observation, not a guarantee.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 5 | 0 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 3 | 1 | 0 |
Publisher identityCan the publisher be traced to its source? | 4 | 0 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Start using Dieta.ai
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http dieta-ai https://api.mcp.ai/p_dietaCapabilities
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.
DiscoveredReturns 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.
DiscoveredConfigurações/perfil de diabetes do usuário (bloco user_diabetes).
DiscoveredResumo do diário (journal) de um dia, no formato YYYY-MM-DD.
DiscoveredLinhas 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.
DiscoveredDefinições dos itens de diário do usuário (as faixas/tracks que ele acompanha, ex.: glicose).
DiscoveredConsulta 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).
DiscoveredMetas nutricionais do usuário (calorias, proteína, carbo, gordura, água, fibra e metas customizadas). Compare com os totais de dietaai_foods para avaliar a aderência.
DiscoveredPonte 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.
DiscoveredDados de glicose do LibreView (Libre). Body opcional, igual ao que o app envia após conectar.
DiscoveredRegistra 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).
DiscoveredDados de glicose do Sibionics (gráfico). Body opcional, passthrough.
DiscoveredGlicose do dispositivo Sibionics. O inviteId vem do perfil do usuário, não é passado pelo cliente.
DiscoveredDados da assinatura do usuário no Dieta.ai.
DiscoveredPerfil básico do usuário: nome, email, userId, fuso horário, idioma e data de criação.
DiscoveredThe 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.
DiscoveredReport a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
DiscoveredShow the current MCP platform and adapter versions.
DiscoveredReturns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
DiscoveredRecent measurements
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 396 ms | 19 |