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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
Get your projects MCP (Model Context Protocol) badges
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
Command-line interface for any Model Context Protocol (MCP) server.
An Envoy-based gateway for Model Context Protocol (MCP) servers, enabling aggregation and routing of multiple MCP servers behind a single endpoint.
This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
A production-ready for seamless integration between Velociraptor DFIR and Large Language Models (LLMs).
Open Source Observability Platform for MCP Servers & Apps
Full documentation is available at buildkite.com/docs/apis/mcp-server.
This is a MCP designed to manage and interact with mobile devices and simulators. It provides utilities for tasks such as app installation, device management, and log retrieval for iOS and Android...
A lightweight, configurable reverse proxy for routing and load balancing MCP (Model Context Protocol) requests to appropriate backend services based on request content.
The Model Context Protocol enables AI models to interact with external systems through tools, resources, and prompts.
Agent Skills
A Claude Code / Cowork skill that interviews you relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
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.
VS Code in the terminal
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
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～
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
Develop Swift/iOS projects using VSCode
Adala is an **utonomous **ta (**abeling) **gent framework.
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
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...
⚡ PowerGrid generates modern, powerful and easy-to-customize data tables using Laravel Livewire.