IIITH Mess MCP Server
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- AlicenseAqualityDmaintenanceEnables AI assistants to interact with the IIIT-H mess dining and marketplace systems through resources, tools, and prompts for meal planning, billing analysis, and registration modifications.27GPL 3.0
- AlicenseAqualityDmaintenanceEnables LLMs to interact with the IIIT Hyderabad Mess System to manage meal registrations, view menus, and track billing. It supports conversational commands for tasks like cancelling meals, estimating nutrition, and checking account balances.455AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceProvides real-time access to menus from all six MIT Bon Appétit dining halls. It enables users to query daily or weekly schedules and filter options by specific dietary requirements such as vegan, halal, or gluten-free.38 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Mealie recipe databases, allowing users to manage and query their recipes through natural language conversations.51 npmMIT

Paxaver MCP Serverofficial
AlicenseAqualityAmaintenanceEnables AI assistants to interact with the Paxaver school lunch platform, allowing users to check menus, order lunch, manage wallet funds, register for events, donate, and perform administrative tasks like managing restaurants and menu items.126286 npmApache 2.0- FlicenseNot gradedqualityCmaintenanceConnects AI assistants to the FAST-NUCES Flex Student Portal, enabling students to query their academic data including attendance, marks, transcript, and fee reports through natural language conversations.6-
TDQS
Scored across 29 tools
Each tool has a clearly distinct purpose with no ambiguity; for example, cancel_meal vs. uncancel_meal, get_registration vs. get_registrations, and register_meal vs. create_monthly_registration are well-differentiated. The descriptions specify unique actions on specific resources, preventing misselection.
All tool names follow a consistent verb_noun pattern using snake_case, such as cancel_meal, get_bill, and update_preferences. There are no deviations in naming conventions, making the set predictable and readable.
With 29 tools, the count is too high for the apparent scope of a mess management system, making it feel heavy and potentially overwhelming. A more focused set of 15-20 tools would better suit the domain without sacrificing functionality.
The tool surface provides complete CRUD/lifecycle coverage for mess operations, including registration, cancellation, billing, preferences, and feedback. There are no obvious gaps, and agents can handle all core workflows without dead ends.