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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
An MCP adapter that bridges the Abilities API to the Model Context Protocol, enabling MCP clients to discover and invoke WordPress plugin, theme, and core abilities programmatically.
Turn your thinking into queryable context
🧠 The AI-native memory framework for building intelligent, context-aware applications 🧠 Built with Rust, Cortex Memory is a high-performance, persistent, and intelligent long-term memory system...
Give agents controlled browser sessions for research, QA, screenshots, and web tasks.
Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia.
Volcengine MCP Servers
A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
💻 Give AI models complete control of your computer (probably a bad idea)
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
FreeCAD MCP(Model Context Protocol) server
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...