Anthropic向けに構築された86個のMCPを発見。
Enables Claude AI to create and modify React applications based on user prompts.
Solves Linear Programming and Non-Linear Programming problems by breaking them into systematic, verifiable steps using the Sequential Thinking Model Context Protocol.
Enables secure shell command execution for Large Language Models (LLMs).
Facilitates interaction with Model Control Protocol (MCP) servers using Server-Sent Events (SSE) in Python.
Provides a working implementation of a Model Context Protocol (MCP) Java SDK with a weather tool accessible via HTTP SSE.
Implements a client for interacting with the MCP (Meta-Cognitive Protocol) using Anthropic's API, including an agency loop.
Enables Claude to manage software development projects with project context awareness and code execution via Docker.
Enables Claude to maintain context and knowledge across chat sessions by managing project-specific memories.
Integrates weather API services with multiple AI models, demonstrating a complete Model Context Protocol (MCP) client-server architecture.
Orchestrates multiple AI models to provide enhanced code analysis, problem-solving, and collaborative development within CLI-based AI agents.
Monitors terminal output in real-time within Claude AI conversations using the Model Context Protocol (MCP).
Automate and manage comprehensive software development tasks using an advanced AI agent system.
Enables command-line interaction with Anthropic's Claude model through Model Context Protocol servers.
Automates the rapid generation of high-quality Next.js applications using AI-driven context engineering and a structured development methodology.
Provides an MCP server to interact with Anthropic's experimental prompt engineering APIs.
Analyzes system log files using AI to identify errors and warnings, and recommend fixes.
Enables AI assistants like Claude Desktop to directly interact with source code files and project directories for enhanced development workflows.
Integrates an extensive collection of custom tools, making them available to Large Language Models like Claude and VS Code Copilot.
Integrates local Ollama models with Claude, enabling delegation of simpler tasks to conserve tokens for advanced reasoning.
Extends Claude's capabilities by providing access to GitHub, Brave Search, and the local filesystem via Model Context Protocol (MCP) servers.
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