iFood
Server Details
Insights for your iFood store right in your AI assistant's chat. Generate charts of sales and payout
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- mcp-dir/ifood-mcp
- GitHub Stars
- 1
Glama MCP Gateway
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Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.8/5 across 22 of 22 tools scored. Lowest: 2.7/5.
All tools have clear, distinct purposes. The iFood-specific tools are prefixed with 'ifood_' and cover different domains (catalog, financial, merchant, reviews, etc.), while generic tools handle authentication, marketplace, and system info. No overlap or ambiguity.
All tools use snake_case naming. The iFood tools follow a consistent 'ifood_verb_noun' pattern (e.g., ifood_catalog_summary, ifood_list_merchants). Generic tools also use descriptive names (authenticate, connect, marketplace). The pattern is predictable and uniform across the set.
22 tools is appropriate for the iFood integration. There are 15 iFood-specific tools covering essential operations (catalog, financial, merchant, reviews, etc.) plus 7 generic tools for authentication, marketplace, and system info. Each tool earns its place without redundancy.
The tool set covers key iFood functionalities well: merchant details, catalog, financial summaries, sales, reviews, interruptions, and reconciliations. Missing are write operations (create/update items or categories) and order management, but the focus on reading and analysis is consistent. Minor gap, but core workflows are supported.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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