Discover our curated collection of MCP servers for learning & documentation. Browse 1416servers and find the perfect MCPs for your needs.
Manages memory banks, enabling AI assistants to store and retrieve information across sessions for maintaining context.
Integrates HackMD note-taking with AI assistants via the Model Context Protocol.
Provides a fully-typed Anki-Connect API client for streamlined development of JavaScript and TypeScript applications that interface with the Anki spaced repetition flashcard software.
Enables AI assistants to search for book and author information from the Internet Archive's Open Library.
Enhance LaTeX academic papers with an AI-powered writing assistant offering intelligent suggestions and seamless Overleaf integration.
Automates openMSX emulator instances via a Model Context Protocol (MCP) server, providing comprehensive tools for MSX software development, testing, and automation.
Enhances Claude AI with real-time web search and premium content access.
Provides a local server that unifies and makes instantly searchable the latest documentation for various Python dependency managers directly within your agentic IDE.
Facilitates searching and accessing programming resources across multiple developer platforms for use by LLMs.
Provides a professional TypeScript-first platform for Claude Code, enabling multi-agent orchestration, advanced browser automation, and comprehensive documentation intelligence.
Provides a collection of examples and demos to help people building the web with Netlify.
Exports 1C:Enterprise platform context from help files into multiple formats for LLMs and offers an MCP server for AI assistant integration.
Enables Large Language Model (LLM) clients to interact with any MediaWiki wiki.
Connects AI systems to Atlassian Confluence knowledge bases by providing tools for accessing and searching Confluence spaces, pages, and content.
Downloads webpages as Markdown files for easy access and integration with AI tools.
Converts Compiled HTML Help (CHM) files to Markdown format, optimized for technical documentation and AI integration.
Transforms feature ideas into production-ready code using a systematic Spec-Driven Development approach.
Provides project code and learning notes for collaborative study of the MCP Minimalist Development course.
Integrates Anki with AI assistants, enabling natural language interaction for enhanced spaced repetition learning.
Manages todo items within Large Language Models through a comprehensive API.
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