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Agile Planner MCP Server (v1.3.3) - AI-Powered Agile Backlog Gen…

@cyberlife-coder

代码仓库

基本信息

分类

推理

许可证

NOASSERTION

传输方式

stdio

作者

cyberlife-coder

关于 Agile Planner MCP Server (v1.3.3) - AI-Powered Agile Backlog Generator

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Agile Planner MCP Server (v1.3.3) - AI-Powered Agile Backlog Generator 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agile-planner": {
      "command": "node",
      "args": [
        "D:/path/to/agile-planner/server/index.js"
      ],
      "env": {
        "MCP_EXECUTION": "true",
        "OPENAI_API_KEY": "sk-..."
      }
    }
  }
}

Agile Planner MCP Server (v1.3.3) - AI-Powered Agile Backlog Generator 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 Agile Planner MCP Server?

Agile Planner MCP Server is an MCP-compatible tool that automatically generates complete agile backlogs—including epics, user stories, MVP, and iterations—or specific features from a simple project description. It works directly within Windsurf, Cascade, or Cursor IDEs and requires no technical skills to operate.

How to use Agile Planner MCP Server?

Install the server via npm (npx agile-planner-mcp-server) or point to a local installation, then configure environment variables such as OPENAI_API_KEY or GROQ_API_KEY. Invoke commands like mcp0_generateBacklog or mcp0_generateFeature from within the IDE or use the CLI equivalents (npx agile-planner-mcp-server backlog "Project Name" "description").

Key features of Agile Planner MCP Server

  • Generates complete structured agile backlogs from plain English descriptions
  • Produces AI-optimized annotations that guide implementation step by step
  • Tracks progress with task checkboxes and dependency management
  • Organizes output in a dedicated .agile-planner-backlog folder
  • Automatically associates features with relevant epics
  • Supports both OpenAI and Groq LLMs for backlog generation

Use cases of Agile Planner MCP Server

  • Quickly bootstrap an agile backlog for a new SaaS project or mobile app
  • Generate a discrete feature with user stories for a specific iteration
  • Standardize backlog format across teams without manual formatting effort
  • Provide AI coding assistants with precise implementation guidance

常见问题

1

Can I generate a single feature instead of a full backlog?

Yes. Use the `mcp0_generateFeature` command and specify the feature description, optional story count, business value, iteration, and epic.

2

What LLM providers are supported?

The server can use either OpenAI (via `OPENAI_API_KEY`) or Groq (via `GROQ_API_KEY`) to generate the backlog structure.

3

Where are the generated files stored?

All output is placed in a `.agile-planner-backlog` folder in the current working directory (or a custom path specified via `outputPath`).

4

What environment variables are required?

At minimum, set `MCP_EXECUTION` to "true" and provide either `OPENAI_API_KEY` or `GROQ_API_KEY`. Optional variables include `DEBUG`, `TEST_MODE`, and `AGILE_PLANNER_OUTPUT_ROOT`.

5

Which IDEs or editors are supported?

The server is designed to integrate with Windsurf, Cascade, and Cursor via the MCP protocol, and it can be used from any MCP-compatible client.

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