Discover our curated collection of MCP servers for learning & documentation. Browse 1661servers and find the perfect MCPs for your needs.
Demonstrates fundamental Model Context Protocol (MCP) server creation on .NET 10, enabling AI assistants to utilize essential mathematical and string processing tools.
Execute Python code in a secure, sandboxed environment for safe development and testing.
Provides a basic Model Context Protocol (MCP) server demonstration with a web user interface.
Provides seamless access to the Amplemarket Knowledge Base via Pylon's API for MCP-compatible clients like Claude Desktop.
Provides a development practice repository for building MCP Servers using Node.js and TypeScript.
Provides a Retrieval-Augmented Generation (RAG) database for PDF documents, leveraging semantic chunking and vector search for intelligent content retrieval.
A multi-agent NLP system analyzes, summarizes, and compares insurance policy documents, enabling intelligent document understanding, semantic search, and comparative analysis between Tunisian and international insurance standards.
Tracks student learning progress and schedules review sessions using a personalized knowledge graph with spaced repetition.
Access and parse scientific papers from arXiv, supporting Model Context Protocol for AI integration.
Provides a practical demonstration and guide for using the MCP Python SDK.
Automate comprehensive documentation generation for diverse software projects, analyzing structure, dependencies, and code metrics.
Experiment with Anthropic's Claude and the Model Context Protocol (MCP) through an interactive web interface.
Provides AI assistants with direct, up-to-date access to Bitrix24 REST API documentation.
Demonstrates the Model Context Protocol (MCP) through a simple client-server greeting tool utilizing standard input and output for communication.
Enables the construction of remote MCP servers featuring robust authentication and authorization capabilities via OAuth2.1.
Generates detailed financial reports for various companies, serving as a practical demonstration for learning the Model Context Protocol (MCP).
Delivers structured CPR training content, including lessons, videos, and reflective questions, via a JSON-RPC over HTTP server for AI assistants and applications.
Provides structured, AI-friendly access to eRegulations API data for querying administrative procedures.
Empower CMU students with a Gen Z-styled productivity app to manage tasks, sync with Canvas, track sprints, and stay motivated with a vibe coach.
Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.
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