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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
The simplest desktop client for OpenClaw 🦞 — bridge your Agent to WeChat, Feishu, Slack & Discord in one click. Works with Claude Code, Codex & any LLM.
🦄 Monads and popular FP abstractions, powered by Go 1.18+ Generics (Option, Result, Either...)
🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and...
The first UI framework for the agentic era — tiny, performant, with WASM sandboxes for safe code execution.
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
Xiaomi Miloco
A collection of interesting libraries and tools for Avalonia project.
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs
A Context Engineering Framework for AI-Assisted Multi Agent Applications Development
🔬 Harness Vibe Research with Self-evolving AI Scientists