Safer agent skills

🔍 Analyze and visualize code quality and structure with codexray, a TypeScript-compatible tool supporting Node.js and MCP integration.

Score basis：Clear source · Risk needs review · Universal

🐚 Provide remote terminal and system access to MCP clients with secure command execution and file management.

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Stdlib-only planning and execution harness for LLM-assisted coding: dependency-aware decomposition, beam strategy branching, incremental verification, failure constraints, and recipe memory.

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Build production-ready, AI-native MCP servers with NitroStack, a TypeScript framework featuring decorators, dependency injection, and widgets.

Score basis：Clear source · Risk needs review · Universal

Provide an MCP server to enable reverse debugging with rr, improving control and insight during program execution analysis.

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Enable AI agents to read, write, and interact with Solana blockchain data using a production-grade Model Context Protocol server with 38 tools.

Score basis：Clear source · Risk needs review · Universal

Connect AI agents to EasyPanel to deploy and manage infrastructure using natural language commands via the MCP protocol.

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Small TypeScript MCP server exposed over Streamable HTTP with a few demo tools for testing clients and transports.

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🎨 Enhance Storybook with this TypeScript MCP server for seamless AI interaction, allowing easy access to components, stories, and screenshots.

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One-command installer for Claude Desktop + MCP servers on Kali Linux/Debian/Ubuntu.

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T4H MCP Command Centre

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🛠️ Build elegant MCP servers in TypeScript with automatic tool discovery and full type safety for streamlined development.

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🔗 Connect and manage your Laravel app effortlessly with an MCP server and REST API for health checks, log reading, and command execution.

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🔧 The ultimate agentic command center — a curated arsenal of GitHub repos, MCP servers, custom skills, and automation tools that Claude autonomously selects and activates based on task requirements.

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Manage Postgres databases, deploy sites and functions, generate images, and control agent allowances via MCP server, OpenClaw skill, and CLI tools.

Score basis：Clear source · Risk needs review · Universal

this is the mcp tool that handle the linux operations quite a bit

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Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.

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chat interface for mcp tools

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Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.

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Enable quick MCP service deployment for OpenClaw by wrapping Coze workflows as skills without environment setup or complex testing.

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Control the ChatGPT Desktop App on macOS via CLI to turn your subscription into a programmable AI backend for MCP clients.

Score basis：Clear source · Risk needs review · Universal

Build a terminal-native security ops platform for telemetry, alerts, investigations, and bounded agent workflows with Elixir, BEAM, and MCP

Score basis：Clear source · Risk needs review · Universal

Sync agent settings across MCP and Node.js tools with a simple TypeScript package

Score basis：Clear source · Risk needs review · Universal

The AI-native terminal for macOS.

Score basis：Clear source · Risk needs review · Universal