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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A specialized MCP server for Payload CMS 3.0 Validate code, generate templates, and scaffold projects following best practices
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP).
The Axiom MCP Server connects AI assistants to your Axiom observability data using the Model Context Protocol (MCP). This repository contains:
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
A clojure-sdk for creating Model Context Protocol servers!
Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.
MCP Server For Turkish Legal Databases
The connects your Schwab account to LLM-based applications (like Claude Desktop or other MCP clients), allowing them to retrieve market data, check account status, and (optionally) place orders under...
Today, you'll dive into the world of intelligent agent systems powered by Azure AI to revolutionize insurance claims processing. Get ready for a hands-on, high-impact day of learning and innovation!
Supercharge your security tools with AI! This is your ultimate guide to MCP-powered security tools that transform how you hack, defend, and analyze threats.
Pipelines you own. Write them, wire them, or draw them.
Core PHP implementation for the Model Context Protocol (MCP) server
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：