scraps-kitchen-mcp
Server Details
Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment.
27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time.
All tools work via oAuth and a free scraps.kitchen account.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
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 4.4/5 across 27 of 27 tools scored.
Most tools have distinct purposes with clear boundaries, such as add_diner vs. update_diner, and add_shopping_list_item vs. add_recipe_to_shopping_list. However, there is some overlap between remove_pantry_item and update_pantry_item (which can mark items out of stock), which might cause slight confusion, but descriptions help clarify their differences.
Tool names follow a highly consistent verb_noun pattern throughout, such as add_diner, get_household, update_pantry_item, and remove_shopping_list_item. All tools use snake_case, and verbs like add, get, update, remove, and mark are applied predictably across different resources, making the set easy to navigate.
With 27 tools, the count feels heavy for a kitchen management server, potentially overwhelming for agents. While it covers many aspects like pantry, recipes, shopping, and household management, some tools could be consolidated (e.g., multiple shopping list removal methods), making it borderline excessive for the scope.
The tool set provides comprehensive coverage for kitchen and meal management, including CRUD operations for diners, equipment, pantry items, recipes, and shopping lists, plus specialized functions like meal suggestions and ingredient tracking. There are no obvious gaps; all core workflows from planning to cooking and cleanup 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
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
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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