mcp-shrimp-task-manager
基于AI的编程工作流任务管理系统. mcp-shrimp-task-manager is a Model Context Protocol (MCP) server maintained by cjo4m06. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 11 tools, including plan_task, analyze_task, reflect_task, split_tasks, list_tasks, query_task, get_task_detail and delete_task, that an agent can call directly. It is categorized under AI/Workflow, Tool/ProjectManagement and AI/Agent.
什么是MCP
虾米任务管理器是基于模型上下文协议（MCP）的智能任务管理系统，为AI辅助编程提供结构化工作流框架。该系统可自动化实现开发项目中的任务分解、执行跟踪和内存管理。
如何使用MCP
可通过Smithery安装本系统，或使用Cursor IDE等兼容MCP的客户端进行手动配置。系统提供两种主要模式：用于创建任务的TaskPlanner和用于执行任务的TaskExecutor，并为任务生命周期的每个阶段提供相应工具。
MCP的用途
本协议旨在通过管理复杂编码任务、利用记忆功能避免重复劳动、为AI辅助开发提供系统化工作流来提升编程效率。特别适用于大型项目拆解、进度跟踪和任务历史维护。
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the mcp-shrimp-task-manager MCP server?
mcp-shrimp-task-manager is a Model Context Protocol server from cjo4m06. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect mcp-shrimp-task-manager to my AI client?
Add mcp-shrimp-task-manager to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does mcp-shrimp-task-manager provide?
mcp-shrimp-task-manager provides 11 tools: plan_task, analyze_task, reflect_task, split_tasks, list_tasks, query_task, get_task_detail, delete_task, execute_task, verify_task and complete_task.
Is mcp-shrimp-task-manager free to use?
mcp-shrimp-task-manager is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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