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로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.

An MCP (Model Context Protocol) server implementation for Listmonk, providing programmatic access to newsletter and mailing list management functionality.

Trusted Model Context Protocol (Trusted MCP)

A Model Context Protocol (MCP) server for interacting with Minecraft via Mineflayer. This package enables AI agents to control Minecraft bots through a standardized JSON-RPC interface.

Enterprise Governance Layer (Identity, RBAC, Credentials, Auditing, Logging, Tracing) for the Model Context Protocol SDK

An Android library that integrates the MCP Kotlin SDK to enable Android applications to host MCP (Model Context Protocol) servers.

A proof-of-concept implementation of a Model Context Protocol (MCP) server that runs in WebAssembly (WASM) within a web browser.

A Model Context Protocol (MCP) server that provides C# code analysis capabilities using the Roslyn compiler platform.

A practical governance framework for organizations adopting the Model Context Protocol (MCP), the open standard that lets AI agents connect to external tools, data sources, and systems.

A comprehensive set of samples of creating and using MCP servers and clients with .NET

This repository contains an extension of Azure Functions to enable support for Model Context Protocol (MCP).

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers.
Agent Skills

把一堆手机拍的旅行素材,用 AI Agent 自动剪成一个完整 Vlog。 你只需要提供素材文件夹,剩下的交给 Agent。

BAGEL is a model-agnostic, modular, fully customizable Python framework for programmable protein design.

一个面向 Seedance 2.5 商业广告创作的导演型 Skill。它把产品 brief、参考图和传播目标转换为 15 秒、30 秒或自定义时长的 TVC 策略、导演执行单、分镜预览与可复制视频提示词,也能根据生成成片的时间码证据给出局部重试方案。

一个用于 的 Codex Skill。它通过 ADB 截图、UI 层级、系统运行时信息和结构化索引,把“人工逛 App”变成一套可追溯、可核验、可用于横向对比的证据材料。

本 skill 把叶子南《高级英汉翻译理论与实践》(第4版)的英译汉方法论,工程化为一条英译中流水线。核心信条如下:

Locate every paper in the literature, not just in a summary.

- using GLiNER-PII and LLM-based augmentation and validation - — LLM-generated substitute, redact, annotate, or hash (deterministic, local) - before full runs with display_record() visualization

A collection of Agent Skills that give a coding agent architectural skills to build scalable, maintainable Django projects with clean separation of concerns, testability, and a full suite of best...

OpenHarness — 24/7 Autonomous AI Framework For OpenClaw

This repository is the canonical source for a simple cloud factory: a set of agent skills and GitHub Actions workflows for moving work from an incoming issue to a verified change.

- — wrap third-party SDK clients (Stripe, Resend, AWS, etc.) with Effect using the "use" pattern: type-safe tagged errors, automatic tracing spans, config-based secrets, and clean dependency...

你可能需要花时间整理材料,把问题发给大模型,review大模型给的答案,再去尝试理解某些晦涩的概念,并判断大模型的回答是否足够可信。忙完以上的一切,还要忙着去除人机味