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Build Model Context Protocol (MCP) servers in Go
Give your AI assistant secure, read-only access to your bank accounts. MCP server supporting Plaid, Teller, Enable Banking, and Tink.
An experimental Model Context Protocol (MCP) server implementation that allows AI assistants to search for product information from Australia's major supermarkets: Coles and Woolworths.
Bu proje, Market Fiyatı API'si ile entegre olan bir MCP (Model Context Protocol) server sunmaktadır. Claude ve diğer MCP destekli AI sistemlerinin Türkiye'deki market fiyatlarını sorgulamasına olanak...
This repository exposes code structural data generated by tree-sitter to be ingested by AI systems for more informed code analysis and improvement.
MCP for AI agents to interact with MapleStory .wz,.img,.pack files - 74 tools for reading, analyzing, modifying, and exporting game data
MCP Server for Dockhand Docker Management - exposes 130+ API endpoints as MCP tools
An MCP server for creating 2D/3D game assets from text using Hugging Face AI models.
Mcptoon is the native decoupling layer for Model Context Protocol (MCP) tools. It fixes tool listings eating tokens and every AI agent re-configuring tools: zero config out of the box, auto-scans and...
MCPHub Desktop 是一款基于 Tauri 2 构建的桌面客户端，用于在个人电脑上统一管理 MCP服务器、Skills、RAG 知识库。所有进程、配置、密钥与向量数据都运行/保存在用户自己的机器上，不依赖任何远端服务。
A third-party Perplexity MCP/REST API implementation that leverages Pro account Pool to provide unlimited quota for ask and deep search capabilities.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)