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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

This MCP server enables dynamic creation, editing and saving of PowerPoint presentations. Built upon the MCP and using the python-pptx library, it provides a flexible interface to add slides, images,...

This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).

kali linux mcp,pentest,penetration test

built by an autonomous agent · sibyl labs llc

Enhanced note taking for AI Agents with supervision.

Turn any OpenAPI spec into a native CLI binary. No MCP, no bloat, no runtime dependencies, ONLY CLI.

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

- Let AI assistants analyze binaries directly

Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.

Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph

Perplexity Advanced MCP is an advanced integration package that leverages the OpenRouter and Perplexity APIs to provide enhanced query processing capabilities.

A CLI tool for managing MCP servers configurations for MCP clients.
Agent Skills

Open-source headless eCommerce platform with a complete REST API, TypeScript SDK, and a production-ready Next.js storefront.

Small, composable skills for coding agents.

The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. Bash + SQLite, no daemon, no framework.

Starter-kit for writing services in Go using Kubernetes.

Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.

Claude Code skills and sub-agents for .NET Developers

In its final days before getting removed from the Subscription, Claude Fable 5 distilled its own way of approaching problems into a set of skills any model can run: classify the ask before touching...

You don't write AGENTS.md. You train it with gradient descent.

— A self-evolving second brain powered by AI agents, markdown files, and version control. No database, no vendor lock-in — just .md files that think.

Seu mentor de Inteligência Artificial para aprender mais e melhor na DIO.

Spec-Driven Develop is an open-source, platform-agnostic workflow for AI coding agents. It turns large software changes into a spec-driven loop: project analysis, task decomposition, GitHub Issue/PR...