Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Social Media Scraper - Custom MCP Server
THE FUTURO
is a Ruby gem focused on providing Model Context Protocol (MCP) capability to Ruby on Rails applications, specifically as a server.
This project is currently under active development and is not yet in working order. The Rhino plugin is experiencing issues with creating objects.
This repository contains the source code for claudemcp.com, a community website for the Model Context Protocol (MCP).
A Model Context Protocol (MCP) server providing tools to read/write Microsoft Word (docx) files.
Nexonco by Nexgene Research is an MCP server for accessing clinical evidence from the CIViC (Clinical Interpretation of Variants in Cancer) database.
OpenAI-API compatible terminal chatbot and MCP client in Rust
The agent-native skills directory for — write Pine Script, backtest crypto strategies, optimize parameters, and run a full quant research desk from one conversation.
A community developed and maintained Model Context Protocol (MCP) server that provides access for large language models to the Nasdaq Data Link. Built for use with MCP-compatible clients.
PMCP is a complete MCP ecosystem for Rust, providing everything you need to build, test, and deploy production-grade MCP servers — in Rust, :
A Model Context Protocol (MCP) server for NASA APIs, providing a standardized interface for AI models to interact with NASA's vast array of data sources.
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)