Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
This repo provides a reference implementation for creating a remote MCP server that supports the Streamable HTTP & SSE Transports, authorized with OAuth based on the MCP specification.
28 plugins and MCP servers for Claude Code — parallel exploration, iterative refinement, binary reverse engineering, structured decision-making, and more.
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,...
Local-first memory layer for CLI agents. Indexes Claude Code, Codex CLI, and Cursor session histories into SQLite + FTS5 — searchable from a CLI, TUI, or MCP server so your next agent session can...
泪心UE4Dump逆向分析MCP工具
Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.
An MCP server that provides access to LLMs using the LlamaIndexTS library.
MCP server to enable an LLM to do basic static triage of a PE.
furi is an easy to use, CLI & API for MCP management.
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
combining Claude Code monitoring, Claude Code config management, hooks, agents, and MCP servers in a single 5.8MB binary. 89x faster startup with SQLite cache, 492 tests, 0 clippy warnings.
Agent Skills
Agent Harness · Spring Boot inside · One JAR to ship
Pure python3 implementation for working with iDevices (iPhone, etc...).
从多项目日常使用中提炼的 Claude Code 工作流模板——涵盖记忆管理、上下文工程与任务路由。
An open-source biomedical AI research assistant built on OpenClaw and Claude Code, integrating 140 K-Dense Scientific Skills for bioinformatics, drug discovery, clinical research, and more.
dotagents One canonical .agents folder that powers all your AI tools.
This repository contains hands-on tutorials for learning LangChain, LangGraph, and Deep Agents, organized into two learning tracks:
A self-improving product system that reads daily reports, identifies the #1 actionable priority, and autonomously implements it.
Modern agents are not "a prompt + a tool." They are — with identity, memory, skills, tools, MCP integrations, guardrails, observability, evals, and a provider strategy.
Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 10 billion with natural language (powered by LLM). Follow us on Twitter: https://twitter.
Platform design skill pack: 450+ rules for Apple HIG, Material Design 3, and WCAG 2.2 across iOS, iPadOS, macOS, watchOS, visionOS, tvOS, Android, and Web.
The practical guide to building AI agent harnesses — with real code examples you can copy and run.
本书围绕 DeerFlow 2.0，从理论到源码，系统讲解如何进行二次开发。 所有代码示例均基于真实源码，确保与 DeerFlow 实现保持一致。