sleep-task-executor-mcp
by guojun21
Overview
Orchestrates long-running, agent-based LLM tasks, generating content and continuously or periodically re-executing prompts based on initial goals and input materials.
Installation
npx sleep-task-executor-mcpSecurity Notes
The server delegates task execution to an external `agent` CLI, which is invoked using `child_process.spawn`. User-controlled arguments like `agent_bin`, `workspace_dir`, `output_dir`, and `input_materials` are passed directly to `spawn` and file system operations (`fs` module). This introduces risks of arbitrary command execution if `agent_bin` is manipulated to point to a malicious binary, or path traversal if directory paths are not sufficiently sanitized. The `agent` is also run with `--force-allow-all-commands` (`-f`), giving it broad permissions within its workspace. Requires trust in the `agent` CLI and careful handling of user inputs to prevent exploitation.
Similar Servers
Polymcp
A comprehensive TypeScript framework for building and orchestrating Model Context Protocol (MCP) servers and AI agents, enabling LLMs to intelligently discover, select, and execute external tools.
ironmanus-mcp
Orchestrates AI workflows with an 8-phase control flow and specialized tools, serving as a Model Context Protocol (MCP) server.
iron-manus-mcp
Orchestrates AI workflows with an 8-phase control flow and focused tools, acting as a Model Context Protocol (MCP) server for complex project management.
1xn-vmcp
An open-source platform for composing, customizing, and extending multiple Model Context Protocol (MCP) servers into a single logical, virtual MCP server, enabling fine-grained context engineering for AI workflows and agents.