Nutrition tracking by Dieta.ai. Read your food log with macros (calories, protein, carbs, fat, fiber
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Call this server's tools from your browser. Nothing to install.
Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.
Tool list from our last check. Connect live to refresh it.
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.
This tool isn't marked read-only, so it may change something on the server or in an account you connected.
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.
| Argument | Type | Description |
|---|---|---|
| token | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"token": {
"type": "string"
}
}
}Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}Configurações/perfil de diabetes do usuário (bloco user_diabetes).
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}Resumo do diário (journal) de um dia, no formato YYYY-MM-DD.
| Argument | Type | Description |
|---|---|---|
| date* | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"date"
],
"properties": {
"date": {
"type": "string"
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| diaryId* | string | |
| end_range_date | string | |
| start_range_date | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"diaryId"
],
"properties": {
"diaryId": {
"type": "string"
},
"end_range_date": {
"type": "string"
},
"start_range_date": {
"type": "string"
}
}
}Definições dos itens de diário do usuário (as faixas/tracks que ele acompanha, ex.: glicose).
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}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).
| Argument | Type | Description |
|---|---|---|
| date | string | |
| end_date | string | |
| start_date | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"date": {
"type": "string"
},
"end_date": {
"type": "string"
},
"start_date": {
"type": "string"
}
}
}Metas nutricionais do usuário (calorias, proteína, carbo, gordura, água, fibra e metas customizadas). Compare com os totais de dietaai_foods para avaliar a aderência.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}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.
| Argument | Type | Description |
|---|---|---|
| path* | string | |
| provider* | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"provider",
"path"
],
"properties": {
"path": {
"type": "string"
},
"provider": {
"enum": [
"whoop",
"strava",
"oura"
],
"type": "string"
}
}
}Dados de glicose do LibreView (Libre). Body opcional, igual ao que o app envia após conectar.
| Argument | Type | Description |
|---|---|---|
| body | object |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"body": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
}
}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).
| Argument | Type | Description |
|---|---|---|
| prompt | string | |
| context | object | |
| imageUrl | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"prompt": {
"type": "string"
},
"context": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
},
"imageUrl": {
"type": "string"
}
}
}Dados de glicose do Sibionics (gráfico). Body opcional, passthrough.
| Argument | Type | Description |
|---|---|---|
| body | object |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"body": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
}
}Glicose do dispositivo Sibionics. O inviteId vem do perfil do usuário, não é passado pelo cliente.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}Dados da assinatura do usuário no Dieta.ai.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}Perfil básico do usuário: nome, email, userId, fuso horário, idioma e data de criação.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}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.
| Argument | Type | Description |
|---|---|---|
| limit | number | |
| query | string | |
| action | string | |
| mcp_id | string | |
| message |
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
| Argument | Type | Description |
|---|---|---|
| context | string | |
| message* | string | |
| conversation | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"message"
],
"properties": {
"context": {
"type": "string",
"default": ""
},
"message": {
"type": "string"
},
"conversation": {
"type": "string",
"default": "[]"
}
}
}Show the current MCP platform and adapter versions.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}| string |
| tool_id | string |
| arguments | string |
| immediate | boolean |
| tier_slug | string |
| prompt_body | string |
| prompt_slug | string |
| prompt_tool | string |
| prompt_vars | string |
| conversation | string |
| prompt_title | string |
| request_name | string |
| cancel_reason | string |
| cancel_comment | string |
| prompt_targets | array |
| report_context | string |
| prompt_category | string |
| request_details | string |
| prompt_description | string |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"type": "number",
"default": 10
},
"query": {
"type": "string",
"default": ""
},
"action": {
"enum": [
"search",
"describe",
"install",
"uninstall",
"subscribe",
"cancel",
"resume",
"report_bug",
"request_mcp",
"list_tools",
"invoke",
"search_prompts",
"get_prompt",
"publish_prompt"
],
"type": "string",
"default": "search"
},
"mcp_id": {
"type": "string",
"default": ""
},
"message": {
"type": "string",
"default": ""
},
"tool_id": {
"type": "string",
"default": ""
},
"arguments": {
"type": "string",
"default": "{}"
},
"immediate": {
"type": "boolean",
"default": false
},
"tier_slug": {
"type": "string",
"default": ""
},
"prompt_body": {
"type": "string",
"default": ""
},
"prompt_slug": {
"type": "string",
"default": ""
},
"prompt_tool": {
"type": "string",
"default": ""
},
"prompt_vars": {
"type": "string",
"default": "{}"
},
"conversation": {
"type": "string",
"default": "[]"
},
"prompt_title": {
"type": "string",
"default": ""
},
"request_name": {
"type": "string",
"default": ""
},
"cancel_reason": {
"enum": [
"too_expensive",
"missing_features",
"switched_service",
"unused",
"customer_service",
"too_complex",
"low_quality",
"other"
],
"type": "string"
},
"cancel_comment": {
"type": "string",
"default": ""
},
"prompt_targets": {
"type": "array",
"items": {
"enum": [
"claude",
"chatgpt",
"cursor",
"lovable"
],
"type": "string"
},
"default": []
},
"report_context": {
"type": "string",
"default": ""
},
"prompt_category": {
"type": "string",
"default": ""
},
"request_details": {
"type": "string",
"default": ""
},
"prompt_description": {
"type": "string",
"default": ""
}
}
}