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.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
add_dineradd_equipmentadd_pantry_itemsadd_recipe_noteadd_recipe_to_shopping_listadd_shopping_list_itemcheck_off_shopping_itemclear_checked_shopping_itemsconfirm_pantry_freshdelete_recipeget_equipmentget_householdget_pantryget_recipeget_recipesget_shopping_listmark_ingredients_usedrate_recipe_for_dinerremove_dinerremove_equipmentremove_pantry_itemremove_shopping_list_itemsuggest_quick_mealupdate_dinerupdate_equipmentupdate_pantry_itemupdate_recipeClaiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such as io.github.acme/server also needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.
HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at /.well-known/glama.json on the same origin as the connector, then choose Check HTTP challenge.
DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
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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AI-powered kitchen management — pantry, recipes, meal plans, shopping lists
Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.
Universal memory for AI agents and tools. Save, organize and search context anywhere.
AI meal plans that fill your Kroger/Instacart cart - pantry-aware lists, all from chat.
Add one secure layer between your agents and this server.
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.
