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MCP Servers
The most comprehensive Proton Mail MCP server ever created.
TurboVault is a dual-purpose toolkit designed for both developers and users. It provides a robust, modular for building applications that consume markdown directories, and a that works out of the box...
MCP server for Unreal Engine 5.6/5.8 :D token-efficient Blueprint reading, editing, and a persistent project index for AI coding agents
MCP server for Yandex Direct, Metrika, Audience & Wordstat APIs — 152 tools for campaign management, audience segments, analytics, and keyword research
The server implements a simple note storage system with: - Custom note:// URI scheme for accessing individual notes - Each note resource has a name, description and text/plain mimetype
Vendor-neutral MCP configuration manager with first-class Claude Code support.
MCP server for Web3 protocol documentation — EIPs, ERCs, BIPs, SIMDs, Cosmos ADRs, Polkadot RFCs, contract registry
A plugin-based MCP server for React Native runtime debugging, inspection, and automation. Connects to Metro bundler via Chrome DevTools Protocol — for most features.
An MCP server that provides KOSPI/KOSDAQ stock data from KRX Data Marketplace.
MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more.
Review Analyzer — agent-native VOC for e-commerce. 6 MCP tools, ASIN or CSV input, black-gold dashboard. Backed by Shulex VOC OpenAPI (10 markets).
Stop re-explaining your data to your AI every session.
Agent Skills
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.
Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).
山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作，一站式搞定人物、大纲、场景、剧本全链路
for quasi-experimental designs in Python.