"Using PostgreSQL to Execute Queries" matching MCP servers:

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

Enables the generation of educational content such as multiple choice questions, lesson plans, and flashcards by connecting local Ollama models to Claude. It leverages the Educhain library to provide structured AI-powered learning tools through the Model Context Protocol.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Enables querying Schoox LMS data (users, courses, enrollments, etc.) via natural language using AI assistants, without writing API code.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.

Enables searching Brown University courses, getting detailed course info, and checking schedule conflicts via natural language, using the university's public course catalog API.

Enables searching and retrieving course listings, departments, and syllabi from National Chengchi University's public course API using natural language.

Calculates pizza dough ingredient quantities using baker's percentages from ball count, weight, hydration, flour blend, and fermentation schedule. Returns grams of each flour, water, salt, and yeast with a readable summary and structured JSON.

A minimal Model Context Protocol server built with the official Python SDK. It exposes one tool, define, which looks up the definition of an English word using the free dictionaryapi.dev API.

Enables browsing situation groups and reading full-text chapters from a curated library of 403 deep reads, with the model matching situations to entries instead of using keyword search.

Provides read-only access to Canvas LMS, enabling users to view active courses, grades, and upcoming assignments through natural language queries.

A read/write MCP server that connects AI assistants to the OpenEMIS school management system, allowing natural-language queries and write operations across 678 resources and 3361 endpoints.

Enables MCP-compatible clients to access Digiforma's GraphQL API for managing trainees, training sessions, and executing arbitrary GraphQL queries or schema introspection.

Gives Claude access to your Skool community, enabling reading and writing posts, comments, members, classroom content, and DMs using your own login.

Enables planning real-life events using the Chinese Tung Shing almanac with NASA-grade astronomy and the 1739 imperial canon.

Enables read-only querying of Moodle as a student, including courses, assignments, grades, forums, and files, using a personal web services token.

Exposes USC's public course catalog API to AI agents, enabling natural-language queries about courses, GE requirements, schedules, and fees with optional filters for days, times, and open sections.

Enables an AI assistant to browse a signed-in school-communication account's classes, chats and message streams, inspect and adjust notification preferences and delivery devices, and send messages to a chat or class. Write actions require explicit user confirmation, and a read-only GraphQL tool allows arbitrary queries for anything the built-in tools don't cover.

Local-first Rutgers course planning assistant that answers 'what should I take and when?' using a CP-SAT solver, real transcript data, and live SOC data, connected to Claude via MCP.

An MCP server for the University of Vienna's course catalogue (u:find), enabling natural language queries for courses, programmes, staff, and schedules. Read-only, no account or API key required.