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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
FHIR MCP Server Model Context Protocol (MCP) Server for Fast Healthcare Interoperability Resources (FHIR)
A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude and other LLMs.
The most comprehensive Model Context Protocol (MCP) server for GitLab — 86 tools, enterprise-ready, actively maintained.
An experimental Model Context Protocol (MCP) server that bridges Granola.ai meeting intelligence with Claude Desktop.
A Model Context Protocol (MCP) server implementation powered by txtai, providing semantic search, knowledge graph capabilities, and AI-driven text processing through a standardized interface.
A Model Context Protocol (MCP) server for X (Twitter) integration. Provides 26 tools for reading timelines, posting, searching, engagement (likes, retweets, bookmarks), user lookup, follower export,...
Built by Thomas Monk , London School of Economics.
A Model Context Protocol (MCP) server that provides debugging capabilities through the Debug Adapter Protocol (DAP).
A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through IoTDB.
is a Model Context Protocol (MCP) server that connects AI agents with the Zscaler Zero Trust Exchange platform. for security, requiring explicit opt-in to enable write operations.
This is a Model Context Protocol (MCP) tool that allows Claude to interact with Microsoft Outlook for macOS.
A JetBrains IDE plugin that exposes an , giving AI coding assistants full programmatic control over the debugger.
Agent Skills
is an API-first Ruby web framework that combines the developer experience of Rails with fiber-based concurrency.
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.
Beautiful React Native components. One command away.
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.
SkillsBench evaluates how well skills work and how effective agents are at using them.
Diagnostics is a library written in Swift which makes it really easy to share Diagnostics Reports to your support team.
A compiler-first reactive JavaScript UI framework. No virtual DOM. Compile-time JSX transforms. Proxy-based stores. Surgical DOM patching.
A curated list of papers, projects, and agent skills on using LLMs for vulnerability detection and discovery.
:mortar_board: → Explore all DeepLearning.AI courses — taught by the people building the future of AI. Find your next one. :computer: → Browse the DeepLearning.
Unhead is a document head and template manager, improving reactive SSR JavaScript framework developer experience, SEO and performance. See the full introduction to Unhead.
Deep Researcher Agent 24/7 Autonomous Deep Learning Experiment Agent