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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
A Model Context Protocol (MCP) server providing authoritative Svelte 5 and SvelteKit definitions extracted directly from TypeScript declarations.
A fork of miscusi-peek/cheatengine-mcp-bridge that replaces Windows Named Pipe with a native C TCP bridge, enabling , , and .
Hosted endpoint: · Website · Docs · Agentic · OpenClaw
Official MCP server for Flowbite to leverage AI for UI creation and theme generation
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Bu proje, Türk Patent ve Marka Kurumu'na ait araştırma portalına (turkpatent.gov.tr) erişimi kolaylaştıran bir FastMCP sunucusu oluşturur.
Fast, efficient screenshot capture of web pages - optimized for CLI coding tools. Automatically tiles full pages into 1072x1072 chunks for optimal processing.
buttplug-mcp is a Model Context Protocol (MCP) server for the Buttplug.io ecosystem. It allows Tool-supporting LLM programs like Claude Desktop query and control your Genital Interface Devices.
A Model Context Protocol (MCP) server for AI music generation using Suno through the AceDataCloud API.
A fast, read-only MySQL Server for the Model Context Protocol (MCP) written in Go.
A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens:
A Redmine plugin that adds AI agents, MCP Server, smart completion, and vector search.
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.
如果在使用过程中遇到问题，请通过 Issues 反馈功能正确性问题和功能请求，其他问题请通过 Discussions 反馈～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...