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AI-редактор кода, часто используемый с developer MCP.
MCP Servers

A complete, driver-based RAG (Retrieval-Augmented Generation) pipeline for Laravel. Built on Prism PHP for provider-agnostic LLM and embedding support.

Transparent MCP proxy that reduces the token cost of large upstream tool responses for nearly every other MCP server imaginable.

MCP server for Things 3 via Things Cloud API

Works transparently with , , , and any MCP-compatible agent. Also supports shell command governance and a language-agnostic HTTP API.

Heimdall — MCP server for the Apple App Store Connect API and App Store Server API (StoreKit 2). 890 tools across 13 profiles, generated from Apple's OpenAPI spec, plus one-call macros for worldwide...

Autonomous agents that find your clients on LinkedIn, on a server you own. An MCP server with 26 tools, so Claude or Cursor can run it. Self hosted LinkedIn outreach, AGPL, one command install.

Add vision to text-only models in Opencode (, ) — , no manual file saving.

This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).

MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.

Build WordPress sites with your AI
Agent Skills

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

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Anthony Fu's curated collection of agent skills.

Minimal Coding Agent Harness on MCP for ChatGPT, Claude, Hermes, Grok Bot, OpenClaw

the runtime your coding agents live on

Autonomous research system for measurable, computer-executable research.

Starter-kit for writing services in Go using Kubernetes.

🚀🎉📚 SaaS Boilerplate built with Next.js + Tailwind CSS + Shadcn UI + TypeScript. ⚡️ Full-stack React application with Auth, Multi-tenancy, Roles & Permissions, i18n, Landing Page, DB, Logging,...

The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki.

Harness engineering beginner tutorial, from 0 to 1