"A study on skin aging and its factors" matching MCP servers:

Enables MCP clients to pull US ZIP-code-level electricity data — Scope 2 location- and market-based emission factors, Scope 1 fuel factors, hourly grid carbon intensity, plant-level emissions, retail rates, and utility tariffs — for carbon accounting, multi-site comparison, and finding the cleanest hours to run flexible loads. It requires no API key or signup and works as either a hosted remote endpoint or a local stdio process.

Enables AI-powered generation, customization, and documentation of its-just-ui React components. Provides tools for component generation, theme management, form creation, responsive layouts, and accessibility guidance.

Provides 26 MCP tools for designing, previewing, and safely applying visual skins to DeepSeek Harness, enabling AI agents to perform complete skin workflows from image upload to theme application.

Enables agents to build standard 64×64 Minecraft skins, validate technical texture properties, and generate inspection previews locally through MCP tools.

Enables AI hosts to import PDFs, photos, and exam papers through local stdio MCP tools, using TextIn OCR to build a versioned wrong-answer bank that keeps original evidence and image crops for human review. Supports retrieval, revision history, practice attempts, dated review queues, and printable offline HTML exports of error notebooks, student workbooks, and answer books.

Converts study materials like PDFs, slides, and DOCX into a searchable vector database with semantic search, summarization, and flashcard generation, integrated with Notion.

Enables AI agents to create and manage personalized 30-day study courses, including web research with source validation, daily lessons, quizzes, and progress tracking through 12 MCP tools.

MCP server that lets an AI analyst place real bets on Binance prediction markets, using Kelly criterion sizing, and tracks its performance through a transparent record of betting slips and outcomes.

Enables AI agents to search and read 1C:ITS portal subscription materials, such as development standards, platform documentation, and configuration guides, returning content as Markdown with source links.

A simple MCP server demonstrating resources, tools, and prompts, including a greeting resource, an addition tool, and a calculation prompt.

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

Enables searching your local study notes, course code, and lecture PDFs, reading files and PDF pages, registering doubts, and tracking completed lessons. Also provides prompts to generate quizzes and weekly revision plans grounded in your own material with source citations.

Enables browsing and preparing study materials from local documents (PDF, Markdown, text, Word) via tools for overview, search, reading, chunking, and quiz generation.

Enables AI apps to turn exam dates and available study hours into day-by-day study plans, spaced repetition review dates, pomodoro work/break schedules, and dated milestones for large assignments. All date math is computed by tested code rather than guessed by the model, running locally with no account or network needed.

An AI-powered study assistant that generates quizzes, flashcards, summaries, and concept explanations from study materials using the Model Context Protocol.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

Remembers exams, syllabus topics, and logged study sessions across conversations, then picks the most urgent subject and topic and builds day-by-day revision timetables. It also returns progress reports and spoken-ready replies for voice assistants.

An MCP server that provides deterministic math computation (numeric, symbolic, unit, matrix) and hybrid retrieval over study notes/textbooks with citations, helping Claude become a reliable study partner.

Enables learners to browse, read, and be quizzed on saved lessons inside Claude Desktop and Claude Code, and enables five Claude agents to build fact-checked K–College lessons through guarded, pinned MCP tools.

A local MCP study assistant that explains topics, creates study plans, and generates revision checklists through the Model Context Protocol.