Anthropic向けに構築された86個のMCPを発見。
Provides a terminal-based user interface for testing Model Context Protocol (MCP) servers.
Generates dynamic UI templates based on natural language requests using large language models and the Model Context Protocol.
Orchestrates a swarm of specialized Claude 3.7 Sonnet instances to generate optimally coherent responses through ensemble intelligence.
Orchestrates intelligent task management, evaluation scoring, and session-based workflows for AI assistants via the Model Context Protocol.
Facilitates rapid research and development using AI, AI Agents, and Large Language Models within a VS Code environment.
Engage with Claude-based AI models through a command-line interface, integrating document referencing and custom command execution.
Automates posting tweets from X (Twitter) using data sourced from a Google Sheet.
Facilitates interactive command-line chat with AI models, supporting document retrieval and extensible tool integrations.
Automates posting tweets to X (Twitter) using data sourced from a Google Sheet.
Provides a curated collection of Jupyter Notebooks, notes, and resources for learning and implementing the Model Customization Protocol (MCP) and Generative AI concepts.
Offers a comprehensive collection of Jupyter notebooks guiding users through building rich-context AI applications with Anthropic models.
Provides a command-line interface for interactive chat with AI models, supporting document retrieval and custom commands.
Experiment with Anthropic's Claude and the Model Context Protocol (MCP) through an interactive web interface.
Securely integrates Anthropic Claude with AI assistants via an HTTP API proxy, offering comprehensive safety controls and permission management.
Enables interactive command-line chat with AI models via the Anthropic API.
Provides filesystem capabilities to Claude, allowing it to read, write, and manipulate files on your system.
Provides a desktop interface for interacting with Claude.
Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.
Automates project analysis and generates comprehensive development specifications, powered by AI integration.
Orchestrates multiple specialized agents to draft articles and conduct web research using a custom communication protocol and an MCP-inspired architecture.
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