v2.19.0 · MIT
Safari browser automation for AI agents — native macOS, zero Chrome overhead. 98 tools via AppleScript + JavaScript.
v3.1.1 · MIT
Notion MCP server for Claude, Cursor, ChatGPT, and Claude Desktop — connect AI agents to Notion via the Model Context Protocol. Create pages, query databases, append blocks, upload files, and more in natural language.
v0.20.0 · MIT
Cross-Code Organizer (formerly Claude Code Organizer): cross-harness config dashboard for Claude Code, Codex CLI, MCP servers, skills, memories, agents, sessions, security scanning, context budget, and backups.
v0.45.2 · MIT
Persistent terminal MCP with one harness-based launcher for Claude Code, Codex CLI, Grok CLI, and Cursor Agent CLI, plus durable PTYs for SSH, containers, and REPLs.
v0.9.37 · MIT
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
v0.1.1 · MIT
MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.
v3.9.4 · MIT
GeneXus 16, GeneXus 17, GeneXus 18 MCP server with native SDK support; basic legacy compatibility for GeneXus Evolution 3, GeneXus Evolution 2, GeneXus Evolution 1, GeneXus 15, GeneXus 9.0, GeneXus 8.0 via com-gxpublic and dotnet-reflection drivers — read
v1.0.5 · AGPL-3.0
A SEC EDGAR MCP (Model Context Protocol) Server
v4.21.0 · MIT
Keep the state. Change the model. Shared context and a multi-model panel across Claude Code, Codex, Cursor, Antigravity, GitHub Copilot, and Muse.
— · Apache-2.0
Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.
v3.8.5 · MIT
MCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups, database operations, health monitoring
v0.2.3 · LGPL-3.0-or-later
Email MCP server with IMAP + SMTP support
v3.1.0 · Apache-2.0
Model Context Protocol (MCP) server for TestRail: let Claude, Cursor, and Windsurf manage test cases, runs, results, and attachments.
v0.4.111 · MIT
A-Team MCP Server — build, validate, and deploy multi-agent solutions from any AI environment
v0.8.3 · MIT
Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.
v3.0.1 · MIT
Deep Zendesk MCP server for your AI assistant: search, draft, update and translate Help Center articles and manage Support tickets end to end — comments, triage and image attachments.
v1.8.4 · MIT
MCP Server for GitHub repository health monitoring
v0.6.0-beta-b · MIT
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.
v1.0.2 · MIT
MCP server for AI agents that need a phone number: order a private number in 200+ countries, read the SMS verification code, hand it back. The widest country coverage in the category, and you can check it with one API call.
v0.16.4 · MIT
DSH Web 输入体验增强插件:可配置发送/换行键位 + 自定义输入框右键菜单 + 面板尺寸记忆 + 快捷指令(分类 / 跨分类移动 / 关·每次·仅首次三种插入模式 / 存 ~/.dsh/quick-prompts.json)+ 提示词优化(0.11.1 起工具行有独立「优化」按钮、带秒表与斜杠命令保护、写回前比对草稿) + OpenCode 会话请求头 + Windows 默认终端切换(把模型的 PowerShell 工具换成 Git Bash)+ 官方持久终端六件套(terminal_open/r
v0.2.16 · MIT
Visual Kanban board for DeepSeek Harness: Gitea and GitHub-backed tasks, workflow columns, and a dedicated agent session per task.
v0.16.1 · AGPL-3.0
Open-source, self-hosted MCP gateway: turn any REST/OpenAPI, SOAP, GraphQL, OData or SQL API into MCP tools for Claude, ChatGPT & Copilot. 265 connectors incl. SAP S/4HANA & Business One, ERP, e-commerce.
v0.8.0 · MIT
Your team and your AI agents work from the same context: tasks, their full history and time as plain files in your git repository
v2.9.0 · MIT
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks