Awesome Education AI: MCP, Skills & LLM Apps

A comprehensive curated list of AI resources for education, including Model Context Protocol (MCP) servers, Claude Skills, Education LLMs, and Agent Frameworks, focused on academic research, teaching efficiency, and personalized learning.

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Table of Contents

• Intelligent Tutoring
• Math & Science
• Biology & Medicine
• Chemistry & Materials
• Arts, Humanities & Social Sciences
• Computer Science & Engineering
• Data & Analysis
• Visual & Presentation
• Academic & Writing
• Notes & Knowledge Base
• Career & Productivity
• Meta Skills
• Commercial Education AI
• Education LLMs
• Agent Frameworks & Educational Applications

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<a id='intelligent-tutoring'></a>Intelligent Tutoring

AI tutors, educational assessment, and personalized learning assistants.

• claude-educational-ai-skills

  • Description: AI skills set for educational researchers, teachers, and digital learning platform developers. Includes curriculum design, assessment generation, etc.
  • Use Case: Lesson planning, pedagogical research, automated question generation.

• EdTech-AI-Coach

  • Description: Python-based tool using Claude to analyze student test data (JSON) and generate personalized, motivating feedback reports (PDF).
  • Use Case: Teachers needing specific improvement suggestions for each student beyond just scores.

• ELA-Tutor-Agent

  • Description: An experimental System Prompt transforming Claude into a professional English Language Arts (ELA) tutor.
  • Use Case: Reading comprehension, writing guidance, and literary analysis dialogue for students in grades 6-8.

• quiz-master

  • Description: App generating general knowledge quizzes using GenAI and Claude Code.
  • Use Case: Quick classroom quizzes, self-testing, flashcard creation.

• apprenticemode

  • Description: A unique skill to detect user "Knowledge Gaps". Infers what you don't know from your Prompt.
  • Use Case: Metacognitive learning, checking for missing knowledge, self-assessing coding level.

• EduBase

  • Description: Interact with EduBase, an e-learning platform with quizzing and exam management capabilities.
  • Use Case: Taking quizzes, managing courses.

• Canvas LMS

  • Description: Connects to the Canvas Learning Management System to access course data, assignments, and announcements.
  • Use Case: Checking grades, managing assignments.

• Educational Tutor MCP

  • Description: AI-powered educational toolkit built on the Model Context Protocol (MCP).
  • Use Case: Personalized tutoring, educational assistance.

<a id='math-science'></a>Math & Science

Mathematics, physics, STEM research, and scientific tools.

• Kvante

  • Description: AI math assistant helping students recognize handwritten math problems via OCR and providing step-by-step solutions (rather than just answers).
  • Use Case: Math tutoring, homework assistance, understanding problem-solving logic.

• MCPR (R Language)

  • Description: Enables AI agents to participate in interactive live R sessions for statistical analysis.
  • Use Case: Statistics courses, data analysis.

• HOCR (Math Capture)

  • Description: Extracts handwritten mathematical formulas from images and converts them to LaTeX.
  • Use Case: Digitizing math notes, homework help.

• Stella MCP

  • Description: Create and validate system dynamics models (.stmx files) for scientific simulation.
  • Use Case: Systems thinking, scientific modeling courses.

• Calculator

  • Description: A precise numerical calculator to prevent LLM math hallucinations.
  • Use Case: Math homework checking, basic calculations.

• Manim Composer

  • Description: Create mathematical animations and visualizations using the Manim engine.
  • Use Case: Creating math tutorials, visualizing complex concepts.

• Quantum Lab

  • Description: Run quantum physics simulations and Python scripts for quantum lab experiments.
  • Use Case: Physics students, quantum computing research.

• NetKet MCP

  • Description: Interface with NetKet for simulating quantum many-body systems using neural networks.
  • Use Case: Quantum physics research, many-body problem simulations.

• Fermat Math Engine

  • Description: Unifies SymPy, NumPy, and Matplotlib into one server for symbolic algebra, numerical computing, and visualization.
  • Use Case: Complex math problems, physics simulations.

• Phys-MCP

  • Description: A physics-focused CAS for solving physics problems with unit-aware calculations.
  • Use Case: Physics homework, unit conversion, mechanics problems.

• Bullet MCP Server

  • Description: Interface with PyBullet physics engine to set up and control physics simulations.
  • Use Case: Robotics simulation, physics demonstrations, collision detection.

• NASA MCP Server

  • Description: Access NASA's API for astronomy data, including Mars Rover photos and Earth imagery.
  • Use Case: Astronomy education, space research, exploring the universe.

• Wolfram Alpha MCP

  • Description: Access Wolfram Alpha's computational intelligence for math, physics, and data queries.
  • Use Case: Checking complex calculations, scientific fact retrieval.

• WolframAlpha

  • Description: Integration with WolframAlpha for computational knowledge and science data.
  • Use Case: Solving complex math problems, physics calculations, chemical equations.

• Manim

  • Description: Animation engine for explanatory math videos. Create precise animations programmaticly.
  • Use Case: Visualizing mathematical concepts, creating educational videos.

• OpenFOAM

  • Description: Free, open source CFD (Computational Fluid Dynamics) software.
  • Use Case: Engineering simulations, fluid dynamics study.

• Open-Meteo MCP

  • Description: Weather data API integration.
  • Use Case: Earth science data collection, climate study.

<a id='biology-medicine'></a>Biology & Medicine

Genomics, protein analysis, medical research, and bioinformatics tools.

• Bio Agents

  • Description: Integration with Protein Data Bank (PDB) and ChEMBL for checking drug data and protein structures.
  • Use Case: Drug discovery, protein visualization, bio-activity research.

• Ensembl MCP

  • Description: Access the Ensembl database for vertebrate genomes, gene lookups, and sequence alignments.
  • Use Case: Genomic research, gene sequence analysis.

• PubMed Search

  • Description: Search and read medical and life sciences papers from PubMed.
  • Use Case: Medical research, biology studies.

• ClinicalTrials.gov MCP

  • Description: Query the ClinicalTrials.gov API for clinical study records and eligibility criteria.
  • Use Case: Medical research, finding clinical trials, checking study details.

• AlphaFold MCP Server

  • Description: Retrieve predicted 3D protein structures from the AlphaFold Protein Structure Database.
  • Use Case: Molecular biology, drug design, understanding protein function.

• Reactome MCP Server

  • Description: Interface with Reactome pathway database for systems biology analysis.
  • Use Case: Studying biological pathways, metabolic research.

• BioThings MCP

  • Description: Interact with BioThings APIs to retrieve gene, variant, drug, and chemical data.
  • Use Case: Bioinformatics research, genetics class.

• UCSC Genome Browser

  • Description: Interact with the UCSC Genome Browser API to find genomes and chromosomes.
  • Use Case: Genomics education, chromosome visualization.

• BioContext

  • Description: Utilities for finding and visualizing biological context in text.
  • Use Case: Biology research assistance.

• Ensembl REST

  • Description: Access to Ensembl genome data via REST API.
  • Use Case: Genomic data retrieval and analysis.

<a id='chemistry-materials'></a>Chemistry & Materials

Molecular modeling, chemical data, materials science, and crystal structures.

• Materials Project MCP

  • Description: Access data on batteries, molecules, and crystal structures via the Materials Project API.
  • Use Case: Materials discovery, battery research, crystal structure analysis.

• MatMCP

  • Description: A dedicated server for Materials Science queries and chemical property retrieval.
  • Use Case: General chemistry queries, materials property lookup.

• RDKit MCP Server

  • Description: Wraps the RDKit library for cheminformatics tasks like SMILES generation and molecule modification.
  • Use Case: Cheminformatics, molecule design, chemical property calculation.

• ChemMCP

  • Description: A comprehensive chemistry toolkit for molecular analysis and interaction.
  • Use Case: Complex chemistry problems, molecular analysis.

• XTB MCP Server

  • Description: Tools for generating Extended Tight-Binding (xTB) quantum chemistry calculation input files.
  • Use Case: Quantum chemistry, automated calculation workflows.

• Catalysis Hub

  • Description: Search and retrieve scientific data from the Catalysis Hub database.
  • Use Case: Chemistry research, catalysis experiments.

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