Browse and discover Model Context Protocol compatible servers
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
The AI Engineering Hub offers tutorials and real-world examples for LLMs, RAGs, and AI agents, enabling users of all skill levels to learn, implement, and scale AI projects.
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
1Panel is an open-source web-based control panel for Linux server management, offering a user-friendly interface for managing servers, deploying websites, and installing applications.
This repository hosts Playwright MCP, a server enabling LLMs to interact with web pages using Playwright's accessibility tree, offering fast, lightweight, and deterministic browser automation. It bypasses the need for vision models.
GitHub's official MCP Server
"Vibe-Trading: Your Personal Trading Agent"
Cognee is a memory layer for AI apps and agents, enabling dynamic agent memory using scalable ECL pipelines to interconnect and retrieve past conversations, documents, images, and audio transcriptions for
A list of free LLM inference resources accessible via API.
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An MCP-based chatbot | 一个基于MCP的聊天机器人
Here are a few options, prioritizing clarity and SEO: * **Option 1 (Focus on core function):** Semantic code retrieval & editing toolkit (MCP server). Agno integration. * **Option 2 (More explic
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like C
FastMCP was a Python library for building Model Context Protocol (MCP) servers quickly and easily, allowing developers to create tools, expose resources, and define prompts with minimal boilerplate. However, it
Mastra is a TypeScript framework for rapidly building AI applications, offering primitives like workflows, agents, RAG, integrations, and evals, supporting local or serverless cloud deployment with unified LLM provider interaction.