Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Evidence-grounded repository audit CLI - deterministic scanner, MCP server, live dashboard, and a GitHub Action that posts PR diffs.
泪心UE4Dump逆向分析MCP工具
基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。
Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.
Desktop Extensions: One-click local MCP server installation in desktop apps
CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.
MCP server implementation for using Claude API with Claude Desktop, providing advanced API integration and conversation management.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
Every scraper starts working. The question is how long before it breaks. Anansi is built on a different assumption: the web is adversarial and unstable, and your scraper should handle that without...
Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.
Train in Silence The first Task-Aware MCP server for LLM fine-tuning. Stop comparing GPU prices. Start training. 中文
MCP Server for Ozon marketplace - search products, get details, prices and delivery info
Agent Skills
A Copilot CLI skill that analyzes your repository and generates the configuration files AI agents need to contribute correctly.
用最少的提示词，识别并去除中文 AI 写作痕迹。
One command drops a tested, versioned skill into your agent. No more ad-hoc prompts. The same rigorous steps run every time.
A comprehensive collection of agent-optimized skills for AI coding assistants working in the LangChain ecosystem.
Practices, protocols, and skills for AI-driven software development
Visit the interactive documentation at: https://dmccreary.github.io/ibook-skills/
Multi-harness control protocol that turns requests into approved design contracts, orchestrating isolated worker sessions for sequential implementation and independent code reviews under Orca...
专为 优化的 Codex skill，大幅降低 token 消耗并提升前缀缓存命中率。
AI Unified Process (AIUP) is a requirements-first workflow for taking software from a product vision to reviewed specifications, implementation, and traceable tests.
git checkout for releases that span many repos. Version tags that restore your whole product. No server, no database, any language.
Agent-native persistent knowledge management — compile knowledge once, query forever.
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...