Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
The FHIR MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with FHIR APIs.
- This minimal implementation leverages the Routes module inside pyRevit to create a bridge between Revit and Large Language Models (LLMs).
Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code.
A Node.js server implementing Model Context Protocol (MCP) for Webflow using the Webflow JavaScript SDK. Enable AI agents to interact with Webflow APIs.
A Model Context Protocol (MCP) server for Juniper Junos devices that enables LLM interactions with network equipment.
A Model Context Protocol (MCP) server implementation that enables AI language models like Claude and other LLMs to interact with Microsoft OneNote.
— a powerful integration layer that empowers LLMs, AI Agents, and AI applications to interact with the web in real time.
SolidPilot lets an AI model work with SolidWorks at the . The goal is for the model to reason in terms of "which CAD intent am I realizing?" instead of "which API method should I call?".
A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients.
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
Give Claude access to all 200+ AWS services through the AWS CLI.
A secure Model Context Protocol (MCP) server implementation for executing controlled command-line operations with comprehensive security features.
Agent Skills
Collection of components and sections specifically designed for creating landing pages with Nuxt 4 and Nuxt UI.
CLI to manage emails
Clone of nanoclaw in Elixir
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Shared guardrails, skills, and bootstrap scripts for AI coding agents
Turn noisy command output into a short, actionable first pass for coding agents.
Unofficial Python CLI for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.
Vendor-neutral, persistent project context for AI coding agents. Shared state lives under docs/context/, stays reviewable in Git, and survives chat resets, compaction, and switching agents (Claude...
AI code review that lands on the PR, not in your terminal — GitHub, GitLab, Bitbucket. Learns each repo's conventions: 1 review, 1 fix commit, replies in thread.