"Learning Programming" matching MCP servers:

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

MCP server enabling AI to search and retrieve Korean secondary school (middle/high) 2022 revised curriculum learning graphs, including achievement standards, topics, prerequisites, and transitions, via 11 tools.

A FastMCP integration with Hyperskill that allows AI agents to explain programming topics and search for programming resources using Hyperskill's learning materials.

A server that enables checking and managing learning paths based on the 2022 Korean national curriculum, including child profile management, curriculum search, prerequisite tracing, and learning check creation with deterministic state assessment.

A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.

Enables the AI Learning Assistant to perform web searches for current or external information, returning ranked public-web results with titles, URLs, snippets, and scores over Streamable HTTP.

Provides read-only access to StudyLife data including courses, notes, sessions, and learning goals, enabling MCP clients to query study information via natural language.

Enables AI assistants to query the UTN distance learning Moodle campus, providing tools to list courses, view content, check deadlines, see grades, and more.

Lets MCP clients access a student's ZHAW Moodle account to list courses, find and download learning materials, sync local copies, and track deadlines, assignments, and announcements.

Enables AI assistants to search and analyze codebases using Abstract Syntax Tree (AST) pattern matching with ast-grep. Supports structural code search, pattern testing, and AST visualization across multiple programming languages.

Enables codebase indexing and searching with symbolic and full-text search, supporting multiple programming languages, designed to work on any architecture including ARM64.

Enables efficient code navigation and retrieval through natural language search, BM25 ranking, and fuzzy matching across multiple programming languages. It drastically reduces token usage by allowing Claude to query specific code symbols and logic instead of reading entire files.

MCP server for intelligent, use-adaptive Obsidian vault search. It uses Hebbian learning and graph centrality to rank files by usage and relevance.

Empowers coding agents for machine learning research by providing access to Lacuna's research map, including novel research proposals, research directions, papers, authors, venues, institutions, and hypotheses. It enables searching and retrieving context-aware research information through MCP tools.

Enables AI to search and retrieve programming problems, interview experiences, and solutions from Nowcoder (牛客网) via the Model Context Protocol.

Provides read-only tools to search, browse, and retrieve lessons, lesson-plan seeds, books, age-leveled booklets, chapter audio, and public media URLs, along with deterministic recommendations scored by age band and learning style. Designed for Cursor and Grok Bot, it stores no learner data and returns public links rather than proxying file bytes.

Enables fast semantic code search using FSQ embeddings, with zero-config indexing and support for multiple programming languages via the Model Context Protocol.

Marketing, Search, AI & Machine Learning (Dockerfile is present)

Enables local MCP clients to explore a student's Fuxam modules, learning units, progress, schedule, and semester options, and to plan, compare, and check proposed course sets for conflicts.

Provides deterministic, plain-English narratives explaining machine learning model predictions via the Model Context Protocol. It enables users to query classification factors directly through natural language, bypassing the need for complex plots or manual code execution.