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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Fine-grained control over model context protocol (MCP) clients, servers, and tools. Context is God.
arifOS evaluates identity, evidence, authority, risk, and reversibility before an AI agent may execute a consequential action.
A multi-agent collaborative screenplay storyboarding system that splits scripts in various formats into script units optimized for AI text-to-video generation durations.
Automated AI code reviews powered by Claude Code. Assign a reviewer on your merge request — Claude reviews the code, tracks progress in real time, and follows up when you push fixes.
is a local-first skill management platform that turns operational knowledge into structured, searchable, reusable artifacts.
A local-first MCP bridge that turns web-based AI (ChatGPT, Grok, Gemini) into a supervised worker on your computer. (Optimized for programming and Most similar to CodeX)
Azure 💜 MCP
VASPilot is an open-source platform that fully automates VASP workflows via a multi-agent architecture built on the CrewAI framework and a standardized Model Context Protocol (MCP).
This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.
A distributed runtime system for federated AI services with edge computing capabilities.
A simple Slack bot that uses the Model Context Protocol (MCP) to enhance its capabilities with external tools.
A seamless integration between Prism and Model Context Protocol (MCP) servers that empowers your AI applications with powerful, external tool capabilities.
