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MCP Servers

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows.

MCP proxy server that filters tools from upstream MCP servers via regex-based deny list

MCP servers for Yandex APIs — search, keyword research, webmaster tools, and web analytics for the Russian market.

gives AI agents a persistent, searchable memory they can use across sessions. V2.1 adds SQLite, full-text search, user-editable categories, safer Docker defaults, and verified backup-first upgrades.

AI MCP for Development with Bedrock, Acorn, Sage.

🚀 Generate executable TypeScript tools from MCP servers with 98% token savings. Progressive loading pattern for AI agents. Production-ready.

Garmin Connect MCP server based on garth.

一个基于 mijiaAPI 3.x 的产品化米家 MCP 服务。它不再要求客户端先理解 did、siid/piid/aiid 这些协议细节,而是优先面向“家庭、房间、设备名、场景名”提供更自然的查询和控制能力。

Welcome to the Twitter MCP (Multi-Channel Platform) Server! This application helps you manage your Twitter account programmatically with a variety of powerful features.

微信 4.0 (Windows) 本地数据库解密工具。从运行中的微信进程内存提取加密密钥,解密所有 SQLCipher 4 加密数据库,并提供实时消息监听。

Superhuman Mail MCP Server

MCP server for the — 135 tools for managing Facebook & Instagram ad campaigns, audiences, creatives, insights, catalogs, and more.
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)