Model Context Protocol Server (MCP Server) for scheduling and managing tasks
MCP Server that schedules tasks through shell commands or AI prompts, enabling automated task management via MCP protocol with cron expressions.
Added on:
Created by:
Apr 25 2025
MCP Server that schedules tasks through shell commands or AI prompts, enabling automated task management via MCP protocol with cron expressions.
Added on:
Created by:
Apr 25 2025
John Lau
Featured
What is Model Context Protocol Server (MCP Server) for scheduling and managing tasks?
This MCP server facilitates scheduling and managing tasks using the MCP protocol. It supports executing shell commands and AI-related tasks based on cron expressions, allowing for automation and integration with AI models. Users can add, update, remove, enable, or disable scheduled tasks, with detailed output capture. The server supports different transport modes, including SSE for web clients and stdio for direct piping, making it versatile for various environments. It's ideal for developers or organizations needing automated task execution with AI capabilities, or integrating with other systems for scheduled operations.
Who will use Model Context Protocol Server (MCP Server) for scheduling and managing tasks?
- Developers
- DevOps engineers
- Automation specialists
- AI integration developers
- IT administrators
How to use the Model Context Protocol Server (MCP Server) for scheduling and managing tasks?
- Step 1: Clone the repository from GitHub.
- Step 2: Build the server using Go commands.
- Step 3: Configure the server via command line arguments or environment variables.
- Step 4: Start the server with desired transport mode (SSE or stdio).
- Step 5: Use MCP protocol tools to add, list, update, or remove scheduled tasks.
Model Context Protocol Server (MCP Server) for scheduling and managing tasks's Core Features & Benefits
The Core Features
- Schedule shell command or AI prompt tasks using cron expressions
- Manage tasks via MCP protocol (list, add, update, remove, enable, disable)
- Support for command output capture
- Multiple transport modes (SSE and stdio)
- Integration with AI models like GPT-4
The Benefits
- Automates task execution with cron scheduling
- Supports AI-powered automation tasks
- Flexible deployment with different transport protocols
- Enables detailed task monitoring and management
- Easy to integrate into existing systems with MCP protocol
Model Context Protocol Server (MCP Server) for scheduling and managing tasks's Main Use Cases & Applications
- Automated server maintenance tasks
- Scheduled AI data analysis or prompts
- Integration of AI prompts with cron-based scheduling
- Automated backups and reports
- DevOps automation workflows
FAQs of Model Context Protocol Server (MCP Server) for scheduling and managing tasks
Developer
- jolks
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
AI Chatbot
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides MCP servers in Python, Go, and Rust for seamless AI tool integration in VS Code.
Implements MCP server supporting multiple agent frameworks for seamless agent communication and coordination.
Enables Claude Desktop to interact with Hacker News for fetching news, comments, and user data via MCP protocol.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.