Discover our curated collection of MCP servers for learning & documentation. Browse 1661servers and find the perfect MCPs for your needs.
Analyzes project structures and generates comprehensive README files.
Provides simple local stdio MCP server examples compiled with Bun for integrating custom functionalities into Claude.
Orchestrates meeting workflows by connecting Fireflies, Asana, and Notion MCP servers to automate task creation and documentation.
Delivers context-aware jokes from various categories for seamless integration with AI models and conversational agents via the Model Context Protocol.
Provides real-time access to comprehensive LangChain documentation, API references, and code examples through a FastAPI-based server.
Integrates extensive documentation access with isolated code testing in containerized environments to streamline development workflows.
Provides calculator tools, document resources, and prompt templates via a single server implementation.
Provides Android development assistance following best practices, incorporating architecture patterns and code generation.
Provides a foundational Model Context Protocol (MCP) calculator server demonstrating secure and performant inter-process communication via standard input/output streams.
Provides a comprehensive, step-by-step guide for developing both server-side and client-side Model Context Protocol (MCP) applications.
Explores Model Context Protocols (MCPs) through a practical, step-by-step guide to building a first custom MCP.
Connects AI assistants to the Smartschool platform, enabling access to educational data like courses, grades, assignments, and messages.
Integrates Large Language Models with MySQL databases and Google Workspace for educational data management and analysis.
Provides semantic search capabilities over documentation chunks using embeddings and AI validation, connecting to a web API.
Transforms dispersed documents into a unified, searchable knowledge base.
Connects AI assistants and Large Language Models to GitHub, Confluence, and Databricks environments via the Model Context Protocol.
Integrates Swagger/OpenAPI specifications with AI assistants, enabling interactive understanding and development of APIs.
Transforms Confluence documentation into an AI-powered knowledge base, enabling natural language queries via Gemini CLI.
Equips AI assistants with specialized tools, resources, and prompts for U.S. employment-based immigration petitions, focusing on EB1A and EB2 NIW.
Offers practical code examples and foundational building blocks for understanding and implementing A2A protocols.
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