Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
An MCP server implementation that provides job search functionality.
A Model Context Protocol (MCP) server for Common Lisp, providing JSON-RPC 2.0 over stdio, TCP, and HTTP (Streamable HTTP).
Offensive MCP server auditor: detects tool poisoning, credential leaks, RCE vectors, SSRF, session hijacking, and supply chain vulnerabilities across stdio, HTTP, and SSE transports.
This is a PoC MCP server developed as part of some internal experiments during the development of CS 4.12 and the CS REST API. More information can be found here.
一个面向 Android 安全测试场景的 MCP Server，聚焦以下能力： - ADB 设备与应用操作自动化 - AAPT APK 信息分析 - JADX 反编译与代码审计支撑 - 静态安全扫描（密钥泄露、弱加密、调试泄露）
gotoHuman makes it easy to add to AI agents and agentic workflows. A fully-managed async human-in-the-loop workflow with a customizable approval UI.
Production MCP server for multi-agent AI research. Plan, parallelize, synthesize.
Play Netflix / Apple TV+ / YouTube / Spotify by name. Cast URLs. Multi-room audio. AI concierge. All from your terminal.
Send requests to OpenAI, Anthropic, and OpenAI-compatible providers using MCP protocol via tool or predefined prompts.
Let AI assistants read, search, and post in your Mattermost workspace
The most comprehensive Proton Mail MCP server ever created.
Fewsats MCP server
Agent Skills
Claude Code skills for the Harness.io CI/CD platform. Generate pipeline YAML, manage resources, debug failures, analyze costs, and more from natural language.
A collection of agent skills for pharmaceutical R&D.
The L-GEVITY Software Architecture AI Skills
Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.
Before I go to bed, I tell my agents: good night, have fun
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
My Codex Skills
Agent-native persistent knowledge management — compile knowledge once, query forever.
AI Unified Process (AIUP) is a requirements-first workflow for taking software from a product vision to reviewed specifications, implementation, and traceable tests.
专为 优化的 Codex skill，大幅降低 token 消耗并提升前缀缓存命中率。
Agent-native way to access any website. Bridging agent CLI and web GUI through API.
Practices, protocols, and skills for AI-driven software development