Discover our curated collection of MCP servers for learning & documentation. Browse 1217servers and find the perfect MCPs for your needs.
Enables Claude and other MCP-compatible AI assistants to perform comprehensive research by integrating web and academic search functionalities.
Facilitates user integration and queries by providing official PortOne documentation to Large Language Models.
Interfaces with the Canvas Learning Management System API to list courses, manage assignments, retrieve syllabi, and more.
Enables searching and retrieving SAP Notes and Knowledge Base articles using SAP Passport authentication and browser automation.
Transforms unstructured information into organized, sourced timelines.
Performs comprehensive, multi-step research on any topic by leveraging web searches, analysis, and report generation.
Augment AI responses with context by retrieving and processing documentation through vector search.
Integrates documentation from Awesome-llms-txt directly into conversations via MCP resources.
Gathers comprehensive web research using Tavily's Search and Crawl APIs and structures the data for high-quality markdown document generation by LLMs.
Provides an MCP Server for accessing and searching data related to the JSer.info JavaScript information website.
Connects to the Inkeep RAG service to retrieve product content and documentation.
Crawl documentation websites, extract code snippets, and provide fast, searchable access to technical content.
Accesses and interacts with your Readwise library via the Model Context Protocol (MCP).
Integrates the Capacities knowledge management system with AI models via the Model Context Protocol for seamless interaction.
Augments large language models with OI-Wiki content for enhanced problem-solving in competitive programming and ICPC.
Enables Large Language Models (LLMs) to search through AWS Lambda Powertools documentation across multiple runtimes.
Enables turn-based games like Tic-Tac-Toe and Rock Paper Scissors with AI opponents featuring multiple difficulty levels, built using Next.js and powered by the Model Context Protocol.
Aggregates documentation from GitHub repositories or URLs into a single file, optimized for use with Large Language Models (LLMs).
Enables MCP clients to interact with a local Zotero repository.
Enables Claude and other LLMs to interact with the EduBase e-learning platform via the Model Context Protocol (MCP).
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