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Task Manager MCP Server

@MustakAhmedcse

代码仓库

基本信息

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stdio

作者

MustakAhmedcse

关于 Task Manager MCP Server

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#task-manager#mcp-server#ai-assistant

Task Manager MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "to-do-app-mcp-server": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

Task Manager MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Task Manager MCP Server?

Task Manager MCP Server is a task management tool that integrates with a database and uses LangChain for AI‑driven assistance. It provides APIs for adding, viewing, completing, and deleting tasks, and includes a Streamlit‑based user interface. This server is designed for developers and users who want to manage tasks programmatically or through a visual interface with AI support.

How to use Task Manager MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, then start the MCP server by running python server.py. To use the graphical interface, run streamlit run streamlit.py. Debugging configurations are available in .vscode/launch.json.

Key features of Task Manager MCP Server

  • Add, list, complete, and remove tasks.
  • Streamlit‑based user interface for visual interaction.
  • LangChain integration for intelligent task management.
  • Tool‑based architecture connecting to external tools.
  • Structured project with separate modules for server, agent, and UI.

Use cases of Task Manager MCP Server

  • Rapidly build a task management application with a backend server.
  • Manage tasks through an AI agent that processes natural language queries.
  • Debug and test task operations using a Streamlit frontend.
  • Integrate task management into larger LangChain‑powered workflows.

常见问题

1

What does the server do?

The server manages tasks using tools connected to a database. It provides APIs for adding, viewing, completing, and deleting tasks, and integrates with LangChain for AI‑driven task management.

2

How do I run the server and the UI?

Start the MCP server by running `python server.py`. For the graphical interface, run `streamlit run streamlit.py`.

3

What are the dependencies?

All dependencies are listed in `requirements.txt`. Install them with `pip install -r requirements.txt`.

4

What tools are available on the server?

The server provides four tools: `list_tasks` (list all tasks), `add_task` (add a new task), `remove_task` (remove a task by ID), and `mark_complete` (mark a task as complete).

5

How does the AI agent work?

The AI agent in `agent.py` uses LangChain to process user queries and interact with the task management tools, enabling intelligent responses and task operations.

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