#learning

Persistent codebase intelligence that gives agents memory across sessions.

Transform your AI agents into Apple development experts! Apple RAG MCP gives you instant access to official Swift docs, design guidelines, and comprehensive Apple platform knowledge through cutting-edge RAG technology. With professional AI reranking and hybrid search across iOS, macOS, watchOS, tvOS, and visionOS documentation plus Apple Developer YouTube content, you'll get precise, contextual answers every time. Compatible with Cursor, Claude Desktop, and all MCP tools - start building smarter Apple apps today!

Konnektoren MCP Server helps you learn German faster and smarter. Instantly find answers to grammar questions, discover the best exercises for your level, and create your own interactive challenges—all in one place. Whether you’re a student, teacher, or self-learner, this server gives you easy access to high-quality German learning resources and tools, right inside your favorite AI assistant. No technical setup required—just connect and start improving your German today!

A comprehensive MCP server providing financial data through unofficial Yahoo Finance APIs for educational purposes. Features 20+ tools including real-time stock prices, financial statements, analyst recommendations, ESG scores, company profiles, and historical data. Built with Python and yahooquery library, offering production-ready error handling and cross-platform compatibility. Perfect for learning financial analysis, educational research, and market data exploration. Note: Uses unofficial APIs - not for commercial trading decisions.

A learning project for MCP server integration, between eventcatalog.io and cursor.

A powerful Model Context Protocol server for LinkedIn interactions that enables AI assistants to search for jobs, generate resumes and cover letters, and manage job applications programmatically.

A Model Context Protocol (MCP) server for agentic retrieval of financial data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

A Model Context Protocol (MCP) server for agentic retrieval and semantic search over unstructured and structured data using Milvus, a high-performance vector database. This server enables large language model (LLM) applications to efficiently index, store, and retrieve vector embeddings derived from diverse data sources—such as documents, images, metadata, or logs. By leveraging Milvus, the MCP server supports similarity search and contextual retrieval, enabling intelligent access to relevant information based on natural language queries. Designed for integration with MCP-compatible clients, this solution provides a scalable, low-latency foundation for building AI-powered applications with contextual awareness and retrieval-augmented generation (RAG) capabilities.

A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

Anki MCP gives you conversational access to your Anki flashcards—quiz yourself, create cards, analyze progress, and manage your collection with natural language.

Deep Learning capstone project about MCP servers

An open-source MCP (Model Context Protocol) server that enables AI agents to record and retrieve learning activities through xAPI-compliant Learning Record Stores

学习模型上下文协议(MCP)服务器 - 翻译和学习资源

MCP Server Repository

A repository to learn MCP Server with implementing git features.

Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server

Learning mcp server and clients through Documentations

This repo is dedicated to learning and working with large language models (LLMs), prompt engineering, and modern GenAI tools such as LangChain, RAG, and vector databases.

A collection of articles and guides on AI, Generative AI, and Machine Learning, featuring practical examples in Python, TypeScript, and MCP server development.

Final unified interface for global users. Just describe your server, paste your API key (Claude/OpenAI/Grok), and this library will build, test, and deploy the full MCP server locally or remotely.

Uses Claude or OpenAI API to convert prompt-mapped input into concrete MCP server components such as tools, resource templates, and prompt handlers.

Automatically generates a full MCP server codebase (Node/Python/Java) using the validated schema, outputting modular files for CLI-based execution or Claude Desktop connection.

CLI tool to scaffold, run, and test MCP servers locally with Node.js or Python, integrated with Claude and OpenAI key injection and auto-link to Claude Desktop.

Enables any MCP-compliant agentic platform (Claude, Grok, TypingMind, Cursor, etc.) to auto-discover generated MCP servers and sync capabilities from build metadata.

Analyzes user-described build features (e.g. database, API integration, tools) and extracts core server requirements like resources, tools, prompts, external systems, and transports needed for MCP.

Generates optimal Claude/OpenAI-ready prompts to build each part of the MCP server (resources, tools, prompts) from the input generated by `mcp_input_analyzer`.

Learning about MCP server

This MCP server implemented with spring AI and Oracle DB is mainly focused in learning and testing purpose

Interact with cloudera AI api to manage job, apps, models

Digimon Engine — Multi-Agent, Multi-Player Framework for AI-Native Games and Agentic Metaverse

My first MCP (Model Context Protocol) server

The repo is based on Model Context procotol of Python SDK, including DL models in CV, and provide the abilities to the LLM or vLLM model

A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.

My first MCP Server for learning

Mirror of

Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools

An attempt to create an MCP server so I can learn more about it

Learn TypeScript chatting effortlessly with AI

Personal Context Technology for AI Personalization MCP server

Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools

MCP server for training Linear Regression Model.

YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.

Mirror of

Learning how to build mcp-servers to connect in llms via langchain

Learn MCP by building from Scarch

A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.

the terminal client for Ollama

Learning repository: conversations and notes from my learning sessions with Claude. And all files are upload by Claude MCP server