Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Most AI coding tools give you a result but no record of how you got there - no trail of decisions for teammates to follow, no way to continue work across sessions, and no framework for managing large...
AI-powered browser automation for Claude Code by DebugBase
A high-performance image compression microservice based on MCP (Modal Context Protocol)
Navigate every data source — native speed, agent-ready, zero Electron bloat.
Keyboard-first local Markdown notes with Vim motions, diagrams, and MCP integration.
Local-first web intelligence for AI agents —
Native macOS App Store Connect tool with MCP. Submit iOS apps to App Store with AI agents
Coding assistant MCP for Claude Desktop
Open-source, local-first Granola/Otter alternative that Claude Code, Codex, Cursor, and any MCP client can query. Meetings, calls, and voice memos transcribed on-device into markdown you own.
Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.
Connect AI models like Claude & GPT with robots using MCP and ROS.
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
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.
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～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
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.
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...