"A real-time voice and text AI assistant with Google Search integration and system control" matching MCP servers:

Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.

MCP server that integrates GitHub, Brightspace, Outlook, and local files, enabling natural language queries for assignments, grades, emails, calendar events, repositories, and file operations.

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.

Converts syllabus documents into a searchable study knowledge base. Provides MCP tools to list available syllabi and retrieve structured summaries and extracted text.

This MCP server provides an AI-driven learning and knowledge management platform that automatically summarizes conversations, manages knowledge graphs, tracks project progress, explores new technologies, and generates study plans through specialized agents.

Provides educational tools for developers to learn programming concepts, review code, get best practices, compare approaches, generate learning paths, debug, explain code, and quiz themselves.

Domain-Driven MCP server for ed-tech workflows, exposing validated MCP tools backed by LangGraph agents, Supabase document retrieval, web search, and YouTube video discovery.

Combines YouTube subtitle extraction, Wikipedia concept lookup, and arXiv paper search into one pipeline without any API keys, enabling generation of comprehensive study notes from a single YouTube URL.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.

A minimal, dependency-free MCP server demonstrating the 2026-07-28 protocol with a toy example of sending a person to check something in the physical world and returning structured evidence, ideal for learning the protocol layer.

Enables interaction with Gmail, Google Drive, and Google Classroom through FastMCP, providing tools for reading emails, managing files, and listing courses.

Enables accurate Quranic verse search through natural language queries, returning exact text with no hallucinations.

This MCP server integrates GitHub issues, academic deadlines (LMS), and a personal task tracker to help AI assistants answer questions like 'What should I work on today?' with a prioritized overview.

A server for querying, practicing, and analyzing exam questions from Taiwan's national examinations, offering 20 tools including search, statute lookup, weak topic review, and readiness assessment.

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

A spaced-repetition study scheduler that syncs with Obsidian notes and uses SBB commute data to optimize study slots.

Provides a privacy-first adaptive review engine with local SQLite storage, enabling item creation, due review retrieval, grading, and statistics via MCP tools.

Enables querying student information such as marks, attendance, pending assignments, and timetables from a MySQL database through MCP tools.

Provides MCP tools for searching student profiles, viewing marks/attendance, and finding low-attendance students. Enables AI assistants like Gemini to interact with college student data through natural language.