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Demonstrates the functionality of a MultiServerMCPClient by showcasing interaction with multiple MCP model servers.
Manages a simple notes system through a Model Context Protocol server, providing resources, tools, and prompts for note interaction.
Explore large language models, prompt engineering techniques, and GenAI tools.
Provides Model Context Protocol (MCP) tools to query timetables (EDT) from the University of Caen (Unicaen).
Enables the construction of remote MCP servers featuring robust authentication and authorization capabilities via OAuth2.1.
Unifies the latest documentation for all Python dependency managers, making it instantly searchable from your agentic IDE.
Calculates roots of quadratic equations using various numerical methods, enhanced by an AI-powered selection process.
Analyzes code and generates documentation for projects.
Explores the Model Context Protocol (MCP), its concepts, operation, and potential future impact on AI tool integration.
Enables documentation from GitHub repositories or websites to be converted into prompts suitable for Large Language Models (LLMs) through an MCP server.
Provides a robust backend for AI agents, delivering custom instruction files and executable scripts.
Indexes code repositories using semantic embeddings to provide intelligent search and analysis capabilities for LLM clients.
Recursively analyzes C++ source and header files to extract class definitions, inheritance relationships, and member information, generating comprehensive UML class diagrams in PlantUML format.
Delivers Stoic philosophy quotes with AI-powered explanations via the Model Context Protocol, demonstrating CRUD operations and cloud migration strategies.
Enables AI assistants to search Giant Swarm's public documentation, internal handbook, and intranet resources.
Syncs Google Drive folders with AI assistants, enabling powerful semantic search, duplicate detection, and cross-reference analysis across your documents.
Connects AI applications to the huuh.me platform, facilitating collaborative AI and knowledge management.
Provides a practical example for developing Gemini CLI extensions.
Provides tutorials and content related to MCP.
Provides AI assistants with contextual, version-specific documentation for Python project dependencies, eliminating manual package lookup and enhancing coding assistance.
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