Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
Example of an MCP server with custom tools that can be called directly from cursor
https://databrickslabs.github.io/ontobricks/
MCP server enabling AI agents to interact with Flutter apps at runtime - let them inspect widgets, simulate taps, enter text, scroll, and take screenshots.
Universal domain exploration engine: fast domain availability checks across the internet — as a CLI, Rust library, and MCP server for AI agents.
A Model Context Protocol (MCP) server for interacting with Twitter.
MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.
This repository contains a set of Model Context Protocol (MCP) servers. Each server lives in its own folder under servers/ and can be used independently.
The open source integration platform for agentic AI. Connect any AI model to thousands of APIs, data sources, and tools with a single function call.
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Own the context. Rent the memory. Your notes stay plain .md files you own — bring any AI model and swap it whenever you like.
MCP implementation of Claude Code capabilities and more
SemanticOps Rollback mistakes. Test before deploy. Control what AI can change.
Agent Skills
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.
Cursor plugin specification and official plugins
Collection of Apify agent skills
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
10 design principles for building agent-ergonomic apps.
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
Review pull requests for bugs, risky changes, missing tests, and release notes.
Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
Hivemind turns your traces into reusable skills across agents