Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
— Build structures through natural-language conversations with Claude.
OrigeneMCP is a core component of the OriGene ecosystem, a self-evolving multi-agent system designed to act as a virtual disease biologist.
Autonomous DFIR agent — SANS SIFT Workstation MCP server for incident response
If you found this from the YouTube video — welcome. This is the improved fork. Everything you need is below.
The best MCP collection
Your markdown vault, compiled into a 6-persona MCP team for Claude Code, Codex, OpenCode, and Gemini CLI. Headless-first. Cites, doesn't guess.
An MCP Server for Linkedin API
Python implementation for building Users Management Agent with MCP tools and MCP server
A lightweight Linear MCP for Claude Code. One tool, seven actions.
is an experimental MCP server for summarizing GitHub discussions, issues, and pull requests. Answer questions like:
Automation-ready anti-detect browser workspace with isolated profiles, REST API, MCP, Docker, and Playwright control.
This MCP server provides read-only access to MySQL databases. It allows you to:
Agent Skills
Claude Code · OpenAI Codex · OpenClaw · Hermes Agent[^hermes] · Mistral Vibe[^vibe] · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity
good-story 是一个给科研写作用的 agent skill。它帮你把手里的结果、图表和草稿，整理成一个证据站得住、读者听得懂、审稿人也挑不散的论文故事。
Let AI agents use the same Chrome browser you use every day.
Paper Search CLI is an agent-facing Skill + CLI package built on a standalone Node.js command line tool for academic literature work.
Agent skills for GPU kernel development — writing, debugging, profiling, and optimizing CUDA and TileLang GPU kernels.
Professional post-match team reports from — a clean Python package + an agent skill, built on the Post-Match-Report-2.0 blueprint.
The definitive list of agent skills and template libraries for generating beautiful, single-file HTML presentations — for Claude Code, Codex, Cursor, OpenClaw, and Hermes.
Split "planning by chatting with an agent" from "visualizing + executing" into two independent modules:
基于 Andrej Karpathy 提出的 LLM Wiki 模式 构建的 Agent Skill，通过四阶段流水线将碎片化信息转化为结构化、可检索、持续增长的个人知识库。
On agent | Claude Code, Codex, OpenCode, Antigravity, Copilot, Cursor, Grok-Build, Pi, Hermes, OpenClaw, etc.
A complete development workflow for AI coding tools
audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool...