发现为 Anthropic 构建的 141 个 MCP。
Automates security assessments by leveraging AI agents to execute commands, install tools, and chain operations for comprehensive penetration testing.
Orchestrates intelligent task management, evaluation scoring, and session-based workflows for AI assistants via the Model Context Protocol.
Enables command-line interaction with Anthropic's Claude model through Model Context Protocol servers.
Monitors terminal output in real-time within Claude AI conversations using the Model Context Protocol (MCP).
Integrates leading AI models with live human engineers directly within your terminal.
Guide users through transforming ideas into websites and apps using AI tools, covering prompt engineering, UI design, and development best practices.
Orchestrates intelligent agents by exposing a diverse set of tools through a unified gRPC and HTTP/REST API.
Automate and manage comprehensive software development tasks using an advanced AI agent system.
Integrates an extensive collection of custom tools, making them available to Large Language Models like Claude and VS Code Copilot.
Simplifies documentation by leveraging AI for semantic understanding and search of content.
Orchestrates three AI-powered CLI tools to validate code produced by Claude Code using a quadruple consensus protocol for enhanced reliability.
Integrates leading AI assistants with specialized scientific research tools and orchestrates them via the Model Context Protocol.
Automates the rapid generation of high-quality Next.js applications using AI-driven context engineering and a structured development methodology.
Provides a terminal-based user interface for testing Model Context Protocol (MCP) servers.
Experiment with Anthropic's Claude and the Model Context Protocol (MCP) through an interactive web interface.
Enables AI assistants like Claude Desktop to directly interact with source code files and project directories for enhanced development workflows.
Monitors and analyzes real-time token consumption across various AI models to optimize usage and diagnose performance issues.
Enables ARM64 browser automation for AI-driven SaaS testing on budget hardware, overcoming limitations of traditional tools like Playwright and Puppeteer.
Generates dynamic UI templates based on natural language requests using large language models and the Model Context Protocol.
Automate AI-powered penetration testing workflows with integrated scanning, evidence management, and professional reporting for Kali Linux.
Scroll for more results...