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Alice MCP - Agile Task Management

@soapko

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soapko

关于 Alice MCP - Agile Task Management

A lightweight, local server designed to support agile task workflows within AI coding environments using the Model Context Protocol (MCP).

Alice MCP - Agile Task Management 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "alice-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Alice MCP - Agile Task Management 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 Alice MCP - Agile Task Management?

Alice MCP - Agile Task Management is a lightweight, local server that supports agile task workflows within AI coding environments using the Model Context Protocol (MCP). It provides a backend for managing projects, tasks, epics, and messages locally on your machine, with project isolation to support multiple distinct software projects.

How to use Alice MCP - Agile Task Management?

Clone the repository, create and activate a Python virtual environment, and install dependencies from requirements.txt. You can run the server automatically via the provided scripts/start-alice-servers.sh wrapper script, or manually by starting the FastAPI backend with uvicorn app.main:app --reload. When using the MCP server tools, provide the project’s name (string) as the project_id argument; for direct API calls, use the internal numeric project ID.

Key features of Alice MCP - Agile Task Management

  • Project Management: Create and manage distinct projects.
  • Task & Epic Tracking: Organize work into tasks and epics.
  • Message Logging: Attach messages or notes to specific tasks.
  • Project Isolation: All data is scoped to a project.
  • Local Operation: Runs entirely on your machine using SQLite.
  • MCP Integration: Designed as a tool provider for MCP environments.

Use cases of Alice MCP - Agile Task Management

  • Manage tasks and epics for multiple isolated software projects.
  • Attach contextual notes or messages to individual tasks.
  • Use as a local backend for AI coding assistants that support MCP.
  • Organize agile work items without a cloud dependency.

常见问题

1

What are the runtime dependencies?

Python 3, a virtual environment, and packages listed in `requirements.txt`. The server uses SQLite locally and requires no external database.

2

How does project isolation work?

Direct API endpoints use numeric project IDs in URL paths (e.g., `/1/tasks/`). When using the MCP server tools, you provide the project’s name as `project_id`, and the MCP server resolves it to the internal numeric ID.

3

Where is data stored?

All data is stored locally in a SQLite database file. No data is sent to external servers.

4

How do I interact with the API?

While the server is running, interactive API documentation is available at `http://127.0.0.1:8000/docs` (Swagger UI) or `http://127.0.0.1:8000/redoc` (ReDoc). You can also send direct HTTP requests to the endpoints listed in the README.

5

Does the server require authentication?

The README does not mention any authentication mechanism. The server runs locally on `127.0.0.1:8000` by default.

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