Browse MCP servers — page 75
Explore the next set of open-source servers for connecting AI tools to data and workflows.
MCP Server LeetCode
doggybee
用于 LeetCode 的 Model Context Protocol (MCP) 服务器,支持 AI 助手访问 LeetCode 题目、用户信息和比赛数据。
mcp-pyautogui-server
hetaobackend
用于 pyautogui 的 MCP 服务器,提供自动化 GUI 测试和控制功能,包括鼠标和键盘控制、截图以及屏幕信息。需要 Python 3.12+ 和 PyAutoGUI。Claude Desktop 的配置文件位于 macOS 的 '~/Library/Application Support/Claude/claude_desktop_config.json' 和 Windows 的 '%APPDATA%/Claude/claude_desktop_config.json'。
MCP2Serial
mcp2everything
用于PWM控制的MCP串行服务。支持通过串行通信以自然语言控制硬件设备。配置文件(例如config.yaml)可以放置在不同位置,并可自定义串口和命令。
Microsoft MCP
elyxlz
Microsoft Graph MCP 服务器,支持 Outlook、日历和 OneDrive 的多账户功能。需要通过环境变量 MICROSOFT_MCP_CLIENT_ID 配置的外部 Azure 应用注册。
Model Context Protocol TypeScript Implementation
hungryrobot1
Model Context Protocol implementation for the Personal Intelligence Framework. Requires Node.js 18+ and npm. Configuration can be customized via MCP_WORKSPACE_ROOT or MCP_CONFIG environment variables or by editing src/config.ts.
MuseScore MCP Server
ghchen99
A Model Context Protocol (MCP) server that provides programmatic control over MuseScore via a WebSocket-based plugin system. Requires MuseScore 3.x or 4.x installed and the MuseScore plugin QML file placed in the appropriate plugins directory as configured via environment or user paths.
Panther MCP Server
panther-labs
Panther 的 Model Context Protocol (MCP) 服务器提供功能,包括在集成开发环境(IDE)中编写和调整检测规则、使用自然语言交互查询安全日志,以及对警报进行分类、评论和解决。需要通过环境变量外部配置 Panther 实例的 URL 和 API 令牌。
PostHog MCP
PostHog
PostHog MCP is an MCP Server that integrates with PostHog for feature flag management and error tracking. Requires a personal API key configured via environment variables for authorization.
Pulumi MCP Server
pulumi
A server implementing the Model Context Protocol for Pulumi. Requires Pulumi CLI installed on the host machine.
Recraft AI MCP Server
recraft-ai
MCP Server implementation for recraft.ai API enabling raster and vector image generation, editing, vectorization, background removal/replacement, and upscaling. Requires a Recraft AI API key (RECRAFT_API_KEY) and optionally an image storage directory (IMAGE_STORAGE_DIRECTORY) configured via environment variables.