Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Documentation • Prompt Decorators Specification
mcpr is an R implementation of the Model Context Protocol (MCP), enabling R applications to expose capabilities (tools, resources, and prompts) to AI models through a standard JSON-RPC 2.0 interface.
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP).
A Ruby Implementation of the Model Context Protocol
The official Figma MCP server has only read-only tools. You can use AI Agent in Figma Make. But, it is not convenient to chat in Figma Make and then move result to Figma to continue.
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
A Model Context Protocol server for building Xcode projects directly from LLM applications
MCP integration for Google Calendar to manage events.
A Symfony package designed for building secure servers based on the Model Context Protocol, utilizing Server-Sent Events (SSE) and/or StreamableHTTP for real-time communication.
Google Search Console Insights with Claude AI for SEOs
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
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...