Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.
A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.
Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.
Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.
Converts VSCode into an MCP server that enables external clients to remotely execute VSCode internal commands, query workspace information, and interact with the editor through HTTP streaming. Built on the FastMCP framework with security controls and real-time monitoring.
Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.
A Python server that enables interaction with macOS native applications (Contacts, Notes, Mail, Messages, Reminders, Calendar, and Maps) through AppleScript, featuring asynchronous operations and type-safe interfaces.
A Model Context Profile server that enables Claude to interact with Todoist, allowing users to create, retrieve, update, and manage tasks through natural language commands.
- Upload videos to YouTube from MCP
- Client(Claude/Cursor/VS Code)
- OAuth2 authentication flow
- Access token and refresh token management
- Multi Channel Support
Enables AI assistants to search YouTube videos with rich metadata including titles, channels, view counts, and duration. Supports multi-language search and is designed for remote deployment on the Dedalus platform.
A server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.
Enables automated content publishing and management on Xiaohongshu (Little Red Book) platform, supporting image/video posts, content search, user profiles, and interactions through the Model Context Protocol.
Enables AI agents to search for YouTube videos and play them in the default browser as a playlist via natural language commands. It leverages the YouTube Data API v3 to provide specific tools for video discovery and media playback orchestration.
Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.