mcp server
iFood
Insights for your iFood store right in your AI assistant's chat. Generate charts of sales and payout
Description as published by the maintainer. Source
- version 0.1.0
- active
active — Registry entry last updated 2026-06-12.
What this server can do
22 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
authenticate(token)- 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.
connect- 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.
ifood_catalog_summary(account, merchant_id, merchant_ids)- Resumo do cardápio (chart-ready): totais (catálogos, categorias, itens, disponíveis/indisponíveis), faixa de preço (min/médio/máx) e mix por categoria (by_category). Ideal pra gráfico de composição de cardápio. Bulk support: accepts merchant_ids for batched execution.
ifood_financial_summary(account, end_date, start_date)- Resumo financeiro agregado do período (chart-ready): total de pedidos, faturamento bruto, ticket médio, série diária (by_day), por forma de pagamento (by_payment_method) e repasses. Ideal pra gráficos de vendas no tempo. Datas YYYY-MM-DD; default = últimos 30 dias. As vendas são buscadas em janelas de até 8 dias automaticamente.
ifood_get_merchant(account, merchant_id, merchant_ids)- Detalhe da loja: nome, razão social, endereço, ticket médio, tipo, status, canais. Bulk support: accepts merchant_ids for batched execution.
ifood_get_opening_hours(account, merchant_id, merchant_ids)- Horários de funcionamento da loja (shifts por dia: dayOfWeek, start, duration em minutos). Bulk support: accepts merchant_ids for batched execution.
ifood_get_reconciliation(account, competence)- Conciliação financeira de uma competência (YYYY-MM): links dos arquivos detalhados (CSV) com o financeiro completo por pedido. Required: competence.
ifood_get_status(account, merchant_id, merchant_ids)- Status operacional da loja em tempo real (aberta/fechada, available, motivos). Bulk support: accepts merchant_ids for batched execution.
ifood_list_accounts(account)- Lista as lojas iFood (conexões) vinculadas a este install — merchant_id, label.
ifood_list_anticipations(account, end_date, start_date)- Antecipações de recebíveis no período (se a loja contratou antecipação no iFood). Datas YYYY-MM-DD (data de cálculo).
ifood_list_catalogs(account, merchant_id, merchant_ids)- Lista os catálogos (cardápios) da loja — catalogId, groupId, status. Bulk support: accepts merchant_ids for batched execution.
ifood_list_categories(account, catalog_id, catalog_ids, merchant_id, merchant_ids, include_items)- Categorias de um catálogo (com itens por padrão): id, nome, status, itens (nome, preço, disponibilidade). Bulk support: accepts merchant_ids, catalog_ids for batched execution. Required: catalog_id.
ifood_list_interruptions(account, merchant_id, merchant_ids)- Lista as pausas (interruptions) ativas/agendadas da loja. Bulk support: accepts merchant_ids for batched execution.
ifood_list_merchants(page, size, account)- Lista as lojas visíveis à conexão (id, nome, razão social). Paginação opcional (page, size — máx 10).
ifood_list_reviews(page, size, account, merchant_id, merchant_ids)- Lista avaliações individuais (nota, comentário, data) paginadas — pra histograma de notas ou ler comentários recentes. Bulk support: accepts merchant_ids for batched execution.
ifood_list_sales(account, end_date, start_date)- Lista crua de vendas/pedidos do período (forma de pagamento, valores, taxas) pra análise detalhada. ATENÇÃO: a janela máxima da API é 8 dias (ajustada automaticamente). Pra períodos longos use ifood_financial_summary.
ifood_list_settlements(account, end_date, start_date)- Repasses (settlements) recebidos no período — valor líquido transferido, saldo. Datas YYYY-MM-DD (por data de pagamento).
ifood_reviews_summary(account, merchant_id, merchant_ids)- Resumo das avaliações da loja: nota agregada (score) e contagem total/válidas. Ideal pra indicador de satisfação. Bulk support: accepts merchant_ids for batched execution.
marketplace(limit, query, action, mcp_id, message, tool_id, arguments, immediate, tier_slug, prompt_body, prompt_slug, prompt_tool, prompt_vars, conversation, prompt_title, request_name, cancel_reason, cancel_comment, prompt_targets, report_context, prompt_category, request_details, prompt_description)- 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_bug(context, message, conversation)- Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. Required: message.
show_version- Show the current MCP platform and adapter versions.
toolkit_info- Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
Last successful function declaration observed on . Source: https://api.mcp.ai/p_ifood. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://api.mcp.ai/p_ifood.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-12 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-12 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 22 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | api.mcp.ai | |
| mcp endpoint status | ok | The server listed 22 functions when asked. | as of probe | api.mcp.ai |
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This record as data
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