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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
The AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters.
— Gmail, Calendar, Drive, Docs, Sheets, Tasks and Meet — from one MCP server, across as many accounts as you have.
A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language.
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Control any Windows machine through the Model Context Protocol — perfect for AI agents, Claude Desktop. Transform your Windows desktop into a powerful, remotely-accessible automation endpoint.
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A Model Context Protocol (MCP) server implementation that provides Facebook Page interaction and management capabilities.
https://www.youtube.com/watch?v=KQpxiXvF4cc
Model Context Protocol (MCP) server for Multi-Cloud Infrastructure Diagrams
This is a Model Context Protocol (MCP) server that allows executing JMeter tests through MCP-compatible clients and analyzing test results.
Python MCP server for BitDive trace analysis, request reproduction, and regression management.
A Model Context Protocol (MCP) server that enables AI assistants to execute KQL queries and explore Azure Data Explorer (ADX/Kusto) databases through standardized interfaces.
Agent Skills
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
is the open-source, MIT-licensed agent skill powered by the world's first agentic AI user researcher.
— The node schema bundled with n8n-as-code is built against the latest stable release of n8n. Keep your n8n instance up to date for best generation and validation results.
Your AI skills and agents, finally organized.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
When Codex starts feeling heavy after weeks of chats, terminals, logs, worktrees, and project history, this gives you a calm way to inspect what is going on and reduce local drag.
A curated collection of JavaScript snippets to measure and debug Web Performance directly in your browser's DevTools console.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
Beautiful React Native components. One command away.
A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4.1, gpt-4o model) and automatically installs a git prepare-commit-msg hook.