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MCP Servers

MCP server for AI-assisted Unreal Engine 5.7+ Blueprint manipulation

Links to samples, tools, and resources for building and integrating Model Context Protocol (MCP) servers on Azure using multiple languages

Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.

An MCP server that helps you find MCP servers that are listed on PulseMCP.com

Transform feature ideas into production-ready code through systematic

The Gemini CLI confirmed that the MCP server built with Google Apps Script (GAS), a low-code platform, offers immense possibilities.

A demonstration project showcasing Model Context Protocol (MCP) implementations using FastMCP, with examples of stdio and HTTP transports, integration with LangChain and Agent Framework, and...

本项目是一个 Android 逆向工程工具集合,通过 MCP (Model Context Protocol) 协议将 AI 助手(如 Claude)与专业的 Android 反编译工具连接起来,实现智能化的 APK 分析与修改。

An MCP (Model Context Protocol) server that provides remote pexpect session control for debugging and process interaction.

MCP server for control Tabby terminal

An MCP (Model Context Protocol) server for interacting with LSP (Language Server Protocol) interface. This server acts as a bridge that allows LLMs to query LSP Hover and Completion providers.

MCP server for development in Rust
Agent Skills

A lean .claude/ setup for daily development. Seven specialist agents, twelve workflow skills, six modular rules, and eight safety/productivity hooks.

A collection of skills for AI financial analysis.

A skill collection for creators who want to streamline writing, X Articles draft publishing, WeChat digital-asset capture, and local workflows with Claude Code and Codex.

This repository contains sample prompts and agent instructions for Microsoft Copilot, GitHub Copilot, and Microsoft 365 Copilot.

本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”,而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。

Linear Chain-of-Thought anchors on whatever it says first. Tree-of-Thought widens the search but still walks a single shared context, so the anchoring persists across branches.

1. 对话 skill 模式:在聊天中按 SKILL.md 约束执行单轮改写;安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式:通过 scripts/run_aigc_round.py 执行单轮分段处理,并按需调用外部 OpenAI 兼容接口。 3. Web 模式:启动本地后端和前端页面,在浏览器中完成上传、配置、执行和导出。 4. app:安装app可直接使用

Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, TSA Cybersecurity, ISO 42001 AI Management System, ISO 27701 Privacy Information Management, DORA...

CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.

得到 APP 课程下载工具,可在终端查看文章内容,可生成 PDF,音频文件,markdown 文稿,可下载电子书。可结合 openclaw +skill 等使用

🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.

Repeatable agents-plus-code workflows, packaged as one skill, stamped into any repo. Deterministic Python owns the graph; coding agents are bounded nodes inside it.