Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
MCP server for Unreal Engine 5.6/5.8 :D token-efficient Blueprint reading, editing, and a persistent project index for AI coding agents
MCP server for AgentHansa — auto-generated tools from the live API
Semantic F# for AI coding agents (Claude Code · Cursor · Copilot · Codex) — an MCP server that gives LLMs real FCS/FSAC compiler intelligence (find, check, types, rename) instead of grepping F#.
Self-extending MCP server - build and execute custom AI tools at runtime
This is a MCP server for Claude Desktop that allows you to interact with SharePoint Online using the SharePoint REST API. It is designed to be used with the [Claude Desktop](https://claude.
MCP server that gives AI agents Frama-C: EVA, WP, and sandboxed ACSL iteration
local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools
A powerful CLI and MCP-based task management system for agentic workflows.
MCP Server for KNX ETS 5/6 via ETS Addin
Agent-native disposable email — Cloudflare Workers + Durable Objects, with CLI & MCP. https://smails.dev
note.com用MCPサーバー(移行済)
Formula workbooks for Node services: edit inputs, recalculate formulas, read outputs, persist WorkPaper JSON, and expose MCP tools.
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...