Discover our curated collection of MCP servers for learning & documentation. Browse 1561servers and find the perfect MCPs for your needs.
Offers a collection of sample projects and resources for backend development.
Provides semantically related Ethereum Improvement Proposals (EIPs) to AI agents.
Integrate your Skald knowledge base with AI assistants for chat, search, and memo creation.
Integrates WikiJS with AI assistants, enabling them to search and retrieve content from your WikiJS knowledge base.
Empowers AI agents to systematically create, query, and maintain architecture decision records within a structured SQL database.
Integrates with Runbook to enable listing, reading, and searching of documents.
Manages various types of sources and integrates them with knowledge graphs for enhanced research and learning.
Enables Claude Desktop to create perfectly formatted RTF documents using Apple's native TextEdit APIs.
Provides a persistent quantitative workspace for mathematical operations, data visualization, and cross-session state via the Model Context Protocol.
Guides large language models in applying modern design principles and best practices for web page generation.
Provides a simple Model Context Protocol (MCP) server for accessing Document360 knowledge base content via GET operations.
Provides structured project specification management capabilities for AI editors through a specification-driven development workflow.
Integrates AI assistants with Anki flashcards, facilitating intelligent learning and flashcard management.
Provides a queryable collection of software development standards and best practices for AI agents.
Provides AI-powered access to Handsontable documentation for various frameworks, enabling efficient code generation.
Renders Markdown content or files into PDF documents via a Model Context Protocol (MCP) server.
Provides a unified interface for accessing up-to-date documentation of popular libraries.
Transforms any GitHub repository into a searchable knowledge base for AI agents.
Explore AI security vulnerabilities within a deliberately insecure framework designed for educational purposes.
Provides personalized programming context and insights, acting as an AI version of a programmer's knowledge.
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