"A tool similar to Cursor with agent-based functionalities" matching MCP servers:

Cursor plugin: Arch theological review API (POST /v1/review)

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.

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 AI agents to work with a local Anki collection through MCP while Anki stays open in the background, listing and creating decks, listing note types, searching notes, and previewing or creating Basic and Cloze notes in batches. Deletion of cards or decks requires explicit confirmation in Anki and completes only after a recovery backup finishes.

MCP server that connects AI assistants to Instructure Canvas LMS, enabling teachers and administrators to manage courses, assignments, grades, and more through natural language.

MCP server that reads Korean school class and teacher timetables from Comci's public schedules, detects schedule changes, and exposes structured data via CLI, local REST, and MCP stdio.

Enables any MCP client to access the Panaversity Agent Factory System of Record curriculum, with login handling and tools for searching, outlining, and reading lessons.

MCP server that exposes an Italian textbook's OCR content, structured exercises, and progress tracking, enabling chatbot agents to interact with the book for language learning.

Enables AI assistants to view Canvas courses, assignments, announcements, and course materials using a user-provided Canvas URL and API key, without submitting work or modifying course data. It supports Codex and DeepSeek Harness.

Enables automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

Enables developers to compare their code predictions against AI-generated implementations, log misconceptions, and receive spaced-repetition learning feedback to guide their understanding of gaps.

Enables teachers to turn plain-language teaching requests into interactive HTML demos and Mannim-rendered narrated animations through a confirm-once workflow, with automatic lesson design, generation, review, and revision. Shares a local work library with the standalone web workbench so finished lessons can be exported as offline HTML, MP4, or ZIP packages.

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

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

A multi-agent AI tutor that delivers personalized lessons, resolves doubts with RAG, generates quizzes, and tracks progress, all accessible via MCP for Claude Desktop.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables a conversational goal-setting flow for college and career coaching, exposing tools to save and retrieve goals and open a goal planner, with recommendations sourced from Career Coach MCP.

Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.

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.

AI agent workbench and MCP server featuring 35 specialized skills for university student competition proposals, research grants, and scholarship applications.

Enables interview preparation by analyzing resumes and job descriptions, generating role-specific questions, and evaluating answers using MCP tools integrated with an OpenAI agent.

Enables AI agents to search and navigate a computer science concept ontology, map exam items to concepts, rank shared prerequisites, and run multi-step wrong-answer diagnosis with review ordering.

Provides comprehensive mathematical differentiation capabilities using symbolic computation (SymPy) and automatic differentiation (autograd).

Enables AI agents to retrieve academic and campus data through structured MCP tools, including schedules, empty classrooms, grades, exams, courses, assignments, attendance, resources, public information, and study-slot planning. It provides read-only results with explicit pagination and error states while keeping credentials in the local system credential store.

Provides read-only access to Indus LMS academic data, letting agents browse courses, announcements, assignments, shared resources, notifications, attendance records, and school email inboxes. It exposes these capabilities as MCP tools over stdio, with no login, mark-read, or submission operations.

MCP server suite that lets coding agents generate deep instructional content from external sources and operate classroom-interactive EdTech platforms including Padlet, Google Classroom, Kahoot!, Wayground, Wordwall, and Nearpod.

Enables AI agents to securely access a guardian's SchoolSoft data—such as schedules, lunch menus, assignments, news, and subjects—using a BankID-authenticated session without exposing credentials.

A local DOCX formatter for theses and papers that also provides an optional MCP server with tools for formatting, extracting rules, and scoring papers.

Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.

MCP server that exposes a university course catalog to LLMs, enabling course search, prerequisite lookup, instructor details, and department directory through natural language.

Provides LLM assistants with course search, prerequisite lookup, instructor information, and prerequisite graph tools backed by a SQLite database, enabling AI-powered academic advising.

Provides coding tutoring by running checks for common programming tasks (palindrome, prime, Fibonacci, GCD, etc.) and explaining the results in plain language.

Provides intelligent access to a university course catalog with full-text search, prerequisite tracking, instructor lookups, and course comparison prompts.

A learning-focused MCP server demonstrating tool, resource, and prompt functionalities including greeting, arithmetic, time retrieval, file reading, dynamic profiles, and document summarization.

Enables a ReAct agent to discover and execute registered tools over JSON-RPC, retrieving real data to produce traceable, evidence-backed answers for student academic queries.

MCP server exposing a university course catalog with tools for searching courses, looking up prerequisites and instructors, and generating prerequisite graphs, plus resources and a prompt template for AI academic advisors.

Educational tools agent by Birkan Yavuz — an A2A + MCP server for classroom tools, with creator attribution in every result. It offers a catalog of 24 real classroom activities, including math visualizers and reading and sight-word tools.

Packages self-contained HTML or Claude Design bundles into SCORM 2004 courses any LMS can import, with offline asset inlining, milestone-based completion/progress and score tracking. Fully local, no telemetry; validated end-to-end on SCORM Cloud.

Exposes Bilibili learning videos to MCP clients, letting them search videos, read descriptions and video metadata, fetch timestamped subtitles, and view top comments for note-taking and Q&A. All summarization is left to the client model, with optional cookie-based login for subtitle access.

An educational MCP server example demonstrating how to build a server that integrates with LLM clients like Claude Desktop.