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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
x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP.
Go-MCP is a powerful Go(Golang) version of the MCP SDK that implements the Model Context Protocol (MCP) to facilitate seamless communication between external systems and AI applications.
A production-ready Claude Code setup for Ruby on Rails development: , (including the SDD kit), , (11 path-scoped + 3 always-on), , and .
MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.
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The safest way to make REST calls in C# with an MCP Generator
A Model Context Protocol server built with Express.js that provides cryptographic tools including key pair generation, shared secret derivation, and message encryption/decryption.
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
Discover Exceptional MCP Servers
The official GitHub Copilot plugins collection ✨
🚀 - OpenFOAM Model Context Protocol server with AI-powered educational capabilities including Socratic questioning, context engineering, and systematic error resolution.
Real-time Slack ingest and MCP server to power your agentic Slack bots
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...