发现优秀的 MCP 服务器
通过 MCP 服务器扩展您的代理能力,拥有 16,380 个能力。
Google Calendar MCP Server
提供异步操作支持的 Model Context Protocol 服务器,可无缝访问 Google 日历 API,并通过标准化接口实现高效的日历管理。
MCPMem
Enables AI assistants to store and retrieve memories with semantic search capabilities using vector embeddings. Provides persistent memory storage with SQLite backend for context retention across conversations.
Ableton Live MCP Server
针对 Ableton Live OSC 控制的 MCP 服务器实现
MCP Google Maps - stdio Edition
Enables Claude Desktop to access Google Maps services including geocoding, place search, directions, distance calculations, and elevation data through stdio communication. Provides comprehensive location-based functionality with direct Google Maps API integration.
solana-launchpads-mcp
An MCP server that tracks daily activity and graduate metrics across multiple Solana launchpads.
RunwayML + Luma AI MCP Server
提供与 RunwayML 和 Luma AI API 交互的工具,用于视频和图像生成,包括文本到视频、图像到视频、提示增强和生成管理。
mcp-server-sql-analyzer
用于 SQL 静态分析的 MCP 服务器。
MCP Twitter
一个模型上下文协议服务器,使人工智能模型和应用程序能够直接与 Twitter/X 互动,提供创建帖子、回复推文、检索用户数据和管理帐户操作等功能。
openapi-diff-mcp-server
BluestoneApps MCP Remote Server
通过 HTTP 协议实现模型上下文协议 (MCP),以提供对 BluestoneApps 编码标准和 React Native 代码示例的远程访问。
Cline Notification Server
MCP服务器通过Telegram发送通知
Unity MCP Server
一个用于 Unity 游戏开发的模型上下文协议服务器,它使用户能够通过与 Smithery.ai 的自然语言集成来管理项目、编辑场景、创建预制件和生成脚本。
Tandoor MCP Server
一个用于与 Tandoor Recipe Manager 交互的模型上下文协议 (MCP) 服务器。
mcp_repo_c11db53a
这是一个由 MCP 服务器的测试脚本为 GitHub 创建的测试仓库。
DeepSeek MCP Server
使用 DeepSeek API 提供代码生成和补全功能,并支持工具链和成本优化。
Puppeteer MCP Server
一个模型上下文协议(Model Context Protocol)服务器,它使用 Playwright 提供浏览器自动化功能,使大型语言模型(LLM)能够与网页交互、截取屏幕截图,并在真实的浏览器环境中执行 JavaScript。
Web Application Penetration Testing MCP
Optuna MCP Server
A Model Context Protocol server that enables automated optimization and analysis using Optuna, allowing LLMs to perform hyperparameter optimization and interactively analyze optimization results via chat interfaces.
tavily-mcp
tavily-mcp
Kali MCP Server
Provides access to 20+ Kali Linux penetration testing tools including nmap, sqlmap, nikto, and hydra for authorized security testing and vulnerability assessment through a Docker-based MCP interface.
Claude Code Review MCP
An MCP server that provides code review functionality using OpenAI, Google, and Anthropic models, serving as a "second opinion" tool that works with any MCP client.
MCP Project Context Server
A persistent memory layer for Claude Code that maintains project information, technology stack, tasks, decisions, and session history between coding sessions, eliminating the need to re-explain project context.
MCP Web UI
MCP Web UI 是一个基于 Web 的用户界面,在模型上下文协议 (MCP) 架构中充当主机。它提供了一个强大且用户友好的界面,用于与大型语言模型 (LLM) 交互,同时管理客户端和服务器之间的上下文聚合和协调。
Self-hosted LLM MCP Server
Enables interaction with self-hosted LLM models via Ollama and Supabase database operations. Supports text generation, SQL queries, and data storage/retrieval through natural language commands.
Task Trellis MCP
An MCP server for Task Trellis that provides tools for AI coding agents to manage tasks, currently featuring a simple hello_world demonstration tool.
Zuora MCP Server by CData
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Zuora (beta): https://www.cdata.com/download/download.aspx?sku=HZZK-V&type=beta
Slidespeak
Okay, here's a translation of "Generate PowerPoint presentations using the Slidespeak API" into Chinese, along with some considerations for different nuances: **Option 1 (Most Common & General):** * **Simplified Chinese:** 使用 Slidespeak API 生成 PowerPoint 演示文稿 (Shǐyòng Slidespeak API shēngchéng PowerPoint yǎnshì wéngǎo) * **Traditional Chinese:** 使用 Slidespeak API 生成 PowerPoint 演示文稿 (Shǐyòng Slidespeak API shēngchéng PowerPoint yǎnshì wéngǎo) * This is a direct and straightforward translation. It's suitable for most contexts. **Option 2 (More Emphasis on "Creating"):** * **Simplified Chinese:** 使用 Slidespeak API 创建 PowerPoint 演示文稿 (Shǐyòng Slidespeak API chuàngjiàn PowerPoint yǎnshì wéngǎo) * **Traditional Chinese:** 使用 Slidespeak API 創建 PowerPoint 演示文稿 (Shǐyòng Slidespeak API chuàngjiàn PowerPoint yǎnshì wéngǎo) * This uses "创建/創建" (chuàngjiàn) which means "to create" or "to build." It emphasizes the act of making the presentation. **Option 3 (More Technical/Formal):** * **Simplified Chinese:** 利用 Slidespeak API 生成 PowerPoint 演示文稿 (Lìyòng Slidespeak API shēngchéng PowerPoint yǎnshì wéngǎo) * **Traditional Chinese:** 利用 Slidespeak API 生成 PowerPoint 演示文稿 (Lìyòng Slidespeak API shēngchéng PowerPoint yǎnshì wéngǎo) * This uses "利用" (lìyòng) which means "to utilize" or "to make use of." It's slightly more formal and suggests leveraging the API's capabilities. **Explanation of Terms:** * **Slidespeak API:** Slidespeak API (This is generally kept as is, as it's a proper noun.) * **生成 (shēngchéng):** To generate, to produce * **创建/創建 (chuàngjiàn):** To create, to build * **利用 (lìyòng):** To utilize, to make use of * **PowerPoint 演示文稿 (PowerPoint yǎnshì wéngǎo):** PowerPoint presentation. "演示文稿" literally means "demonstration document." **Which option to choose?** * For general use, **Option 1** is perfectly fine. * If you want to highlight the *creation* aspect, use **Option 2**. * If you're in a more technical or formal setting, **Option 3** might be more appropriate. Therefore, the best translation depends on the specific context and the nuance you want to convey. I would recommend **Option 1** as the default unless you have a specific reason to choose otherwise.
Remote MCP Server (Authless)
A tool for deploying an authentication-free Model Context Protocol server on Cloudflare Workers that can be connected to AI clients like Claude Desktop or the Cloudflare AI Playground.
HomeAssistant MCP
智能设备控制 🎮 💡 灯光:亮度、颜色、RGB 🌡️ 气候:温度、暖通空调(HVAC)、湿度 🚪 遮盖物:位置和倾斜度 🔌 开关:开/关 🚨 传感器:状态监控 智能组织 🏠 具有上下文感知的分组。 稳健的架构 🛠️ 错误处理、状态验证...
Cisco ISE MCP Server
Enables management of Cisco Identity Services Engine (ISE) resources through the ERS API. Supports identity management, endpoint registration, network device configuration, and authorization profiles through natural language interactions.