Discover our curated collection of MCP servers for learning & documentation. Browse 1818servers and find the perfect MCPs for your needs.
Demonstrates a basic JSON-RPC client and server implementation using Node.js.
Provides an interactive web tutorial for learning how to build Model Context Protocol (MCP) servers.
Provides transcripts from a YouTube playlist through an experimental MCP server.
Validates code and content against official Model Context Protocol specifications, ensuring technical accuracy and preventing misinformation.
Creates an MCP server that manages a simple note-taking system using a low-level server with streamable HTTP.
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and analyze citations and references.
Accesses and searches OpenTelemetry documentation using the Model Context Protocol.
Empowers AI coding assistants with semantic search across Apple's comprehensive developer documentation, WWDC transcripts, and code examples.
Offers a robust content management solution through a TypeScript-based server for Markdown processing, document generation, and intelligent note searching.
Provides a search engine for Micronaut documentation and guides, accessible via a web application and an MCP Server.
Enables AI assistants to print documents, manage print queues, and control printers on macOS/Linux via the CUPS printing system.
Enables AI assistants to scan webpages and local files for broken links through a Model Context Protocol (MCP) server.
Empowers AI development by enabling agents to learn from past experiences, reducing repetitive trial-and-error and optimizing token usage.
Streamlines Polkadot development by integrating the Pop CLI for building and managing smart contracts, parachains, and pallets through an AI assistant.
Integrates Moodle's web services with the Model Context Protocol (MCP) for seamless interaction with AI assistants and external systems.
Integrate Outline knowledge bases with Claude Code and other MCP clients for AI-driven document management.
Transforms documentation chaos into a structured, private memory system for developers with multi-context knowledge management.
Integrate official documentation knowledge from Inkeep-powered websites directly into local AI agents and command-line interfaces.
Provides a persistent knowledge base for AI coding agents to store, search, and manage reusable information.
Empowers AI assistants to access a comprehensive database of scientific papers by extracting raw experimental data, methods, and conclusions directly from full-text studies.
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