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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

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A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.

vs-punk: ADT to MCP bridge - Vibe code in ABAP / AMDP

The Official Model Context Protocol (MCP) server for Kagi Search & other tools.

A Model Context Protocol (MCP) server that provides tools for interacting with Trello boards.

MCP server for Coolify — 42 optimized tools for managing self-hosted PaaS through AI assistants

Baidu Map MCP Server

MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics

A centralized manager for Model Context Protocol (MCP) servers with dynamic server management and monitoring

HOL Guard brings antivirus-style runtime protection to AI agents. It evaluates supported agent actions and local artifacts for secret exposure, prompt injection, unsafe commands, malicious packages,...

TDA - Thread Dump Analyzer (for Java). Analyze your Thread Dumps with a GUI or use it as MCP Server.

An SDK building Laravel MCP servers
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...