"Using RAG to Provide Documentation to LLMs" 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 external AI agents to query and retrieve context from locally ingested technical books through native function-calling tools, with hybrid search, reranking, and optional GraphRAG traversal.

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 beginner-friendly Python and Pybricks development support through RAG-powered tools that search official documentation, suggest code snippets, and provide version-aware guidance for LEGO robotics programming.

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 personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.

Enables AI agents and users to search institutional knowledge, retrieve policies and academic regulations, compare document versions, and generate grounded answers with verified citations through MCP tools, resources, and prompts.

Enables LLMs to search and retrieve exam problems, solutions, and answers from the СДАМ ГИА educational platform across multiple subjects. It supports fuzzy text matching, catalog browsing, and structured data retrieval to assist with academic study and test preparation.

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.

Integrates the levelang.app translation API with AI assistants to provide translations constrained to specific learner proficiency levels. It supports multiple languages and allows users to control translation styles and moods while dynamically discovering available language configurations.

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.

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.

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

Enables LLMs to browse and retrieve tasks from the FIPI EGE open bank, including subject listing, task search with metadata and LaTeX-formatted conditions, and automated answer checking for short-answer questions.

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.