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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
Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.
A distributed runtime system for federated AI services with edge computing capabilities.
OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.
Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.
Canvas MCP Client is an built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible,...
This is a Model Context Protocol (MCP) server for Excalidraw, providing API functionality for operating on Excalidraw drawings.
A that lets you chat with large language models and seamlessly plug in external tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker...
is a command-line tool that seamlessly generates production-ready Model Context Protocol (MCP) server boilerplate from your OpenAPI specifications, enabling you to easily expose your existing APIs as...
A pluggable, language-agnostic filter framework for Model Context Protocol (MCP) traffic. Each filter is a tiny HTTP service that decides whether a tool call should be allowed, blocked, modified, or...
A framework for testing MCP (Model Context Protocol) client and server implementations against the specification.
A remote MCP server for personal nutrition tracking — log meals with calories, macros, fiber, total sugar and caffeine, log water and body weight, review nutrition history, and import an existing...
A and to interact with Model Context Protocol (MCP) servers.
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.
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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