patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
Awesome Crypto MCP Servers is a reference list, not software: it catalogues MCP servers relevant to cryptocurrency and blockchain work so someone assembling a crypto-focused agent can find existing servers instead of writing their own. Entries span several groups. Onchain data servers query token balances, transaction history and smart-contract state on particular chains. Exchange and market-data servers wrap providers such as CoinMarketCap and individual venues. Sentiment and indicator servers cover things like the crypto fear-and-greed index. Wallet and transfer servers perform actual value movement, including one that sends USDC on Base through Coinbase's MPC wallet technology. Each entry is a short description with a link to the implementing repository. A tutorials section points to material on installing and using MCP servers in Claude Desktop, plus a desktop application for discovering and managing installed servers. The list follows the awesome-list convention and carries the awesome.re badge. Its value is as a starting index for a specific and fast-moving domain, where most servers are small single-purpose projects that are hard to find by search. The audience is developers building trading, portfolio or onchain-analysis agents, who should note that some listed servers move real funds and warrant review before installation.
https://github.com/badkk/awesome-crypto-mcp-servers
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
This repository offers a comprehensive collection of over 50 tutorials and implementations for Generative AI Agent techniques, ranging from basic conversational bots to complex multi-agent systems,...
This repository offers end-to-end, code-first tutorials for building and deploying production-grade Generative AI agents, scaling from prototype to enterprise.
An open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) with practical coding examples in multiple programming languages.
A comprehensive collection of practical examples, tutorials, and tools for building powerful LLM-powered AI applications, including chatbots, agents, and workflows, with a focus on the Model Context Protocol (MCP).
The Model Context Protocol project provides a standardized specification and schema for managing model context to enable interoperability in model-driven systems.
A curated repository of modular skills, tools, and tutorials for enhancing AI coding agents like Claude, Codex, Copilot, and VS Code through dynamic instruction files.
A comprehensive curated collection of free resources to learn AI, Machine Learning, Large Language Models, AI Agents, and the Model Context Protocol from scratch.