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

A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude and other LLMs.

The most comprehensive Model Context Protocol (MCP) server for GitLab — 86 tools, enterprise-ready, actively maintained.

An experimental Model Context Protocol (MCP) server that bridges Granola.ai meeting intelligence with Claude Desktop.

A Model Context Protocol (MCP) server implementation powered by txtai, providing semantic search, knowledge graph capabilities, and AI-driven text processing through a standardized interface.

A Model Context Protocol (MCP) server for X (Twitter) integration. Provides 26 tools for reading timelines, posting, searching, engagement (likes, retweets, bookmarks), user lookup, follower export,...

Built by Thomas Monk , London School of Economics.

A Model Context Protocol (MCP) server that provides debugging capabilities through the Debug Adapter Protocol (DAP).

A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through IoTDB.

is a Model Context Protocol (MCP) server that connects AI agents with the Zscaler Zero Trust Exchange platform. for security, requiring explicit opt-in to enable write operations.

This is a Model Context Protocol (MCP) tool that allows Claude to interact with Microsoft Outlook for macOS.

A JetBrains IDE plugin that exposes an , giving AI coding assistants full programmatic control over the debugger.

Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.
Agent Skills

Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.

Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.

如果在使用过程中遇到问题,请通过 Issues 反馈功能正确性问题和功能请求,其他问题请通过 Discussions 反馈~

Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.

🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.

Adala is an **utonomous **ta (**abeling) **gent framework.

Beautiful UI components built for Better Auth.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Ti*k*Z is a wonderful awesome graph drawing package for TeX/LaTeX/ConTeXt. Unlike other TeX packages, TikZ itself is really huge, its manual contains about 1100+ pages, 100+ chapters.

⚡ PowerGrid generates modern, powerful and easy-to-customize data tables using Laravel Livewire.

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...

A collection of AI agent skills focused on resume optimization, job applications, and career development.