Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers

Codegen-first polyglot web toolkit. A Rust core plus 14 language bindings generated by alef — spec-driven codegen (OpenAPI, AsyncAPI, GraphQL, JSON-RPC, gRPC, and SQL→HTTP), type-safe routing,...

Tinder for your Claude Code skills. Swipe through your collection and delete what's wasting context, in seconds.

An MCP server for fetching transcripts of YouTube videos.

A Claude Code skill + MCP server setup for expert-level Google Ads campaign analysis

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OpenMessage is a local-first messaging workspace for Google Messages, WhatsApp, and Signal. Use it from the native macOS app, the localhost web UI, or any MCP-compatible client.

一套建構在 之上的美股投資研究與組合管理工作區。把日報、組合檢視、個股深度分析、選擇權策略、交易日誌等流程,全部封裝成可重複執行的 slash command,並用一套**(可驗證 thesis → 證偽條件 → 機率分布 + EV)約束每一個投資結論,避免淪為 narrative。

轻便的人机共读MCP

kiro SPEC mode impl by mcp

An MCP server that enables communication with users through Telegram. This server provides tools to interact with users via a Telegram bot, including asking questions, sending notifications, sharing...

Autonomous DFIR agent — SANS SIFT Workstation MCP server for incident response

1. Topics with new posts 2. Most active topics (past year/month/week/day) 3. Recently popular topics 4. Latest classified topics 5. Recently created topics 6.
Agent Skills

Small, composable skills for coding agents.

Formerly known as the ODIN Claude Plugin. The repo URL stays the same; the brand has matured.

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A curated pack of security skills for external reconnaissance, web applications, APIs, authentication, vulnerability validation, attack-path analysis, and reporting.

Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+

OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML...

Starter-kit for writing services in Go using Kubernetes.

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...

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

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

— 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.

In the AI era, why can't everyone be a Principal Investigator?