Discover our curated collection of MCP servers for learning & documentation. Browse 2141 servers and find the perfect MCPs for your needs.
Exposes Clever Cloud's documentation through a Model Context Protocol (MCP) server.
Generates intelligent queries and documentation assistance for APIs using Claude AI.
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Illustrates basic calculator operations using SSE and stdio transports with a minimal Model Context Protocol (MCP) server and client example.
Creates persistent, personally-owned AI memory systems for continuous human-AI collaboration and compounding intelligence across platforms.
Provides tools for efficiently accessing Effect documentation.
Extracts survey content and bibliography in BibTeX format directly from arXiv papers.
Provides foundational example code for building Model Context Protocol (MCP) servers using FastAPI.
Generates automatic documentation for Claude Code by integrating with development workflows to capture and document project implementations.
Provides a boilerplate for quickly developing Model Context Protocol (MCP) servers using the TypeScript SDK.
Provides comprehensive offline access to Ellen G. White's writings through dual APIs (MCP and REST) and advanced PDF generation capabilities for research and educational purposes.
Provides semantic search across Notifly documentation and SDKs to streamline integration processes for developers.
Connects AI assistants like Claude to Canvas LMS for natural language querying of grades, assignments, and academic data.
Create, manage, and instantly share markdown documents directly from Claude.
Provides persistent memory and context management for AI coding agents across sessions.
Enable AI assistants to compile, validate, and explore TON smart contracts using the Tolk compiler.
Provides agentic AI tools with access to a searchable library of Brian2 neural simulation models, facilitating rapid development and modification of neuroscience workflows.
Integrates Claude Desktop with Queen's University's D2L Brightspace learning management system to enable conversational queries about course data.
Enhances developer tasks by providing contextual information directly from project documentation.
Enables AI assistants to query Chinese Minecraft Wiki documents, delivering content via the Model Context Protocol.
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