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yuppie-mcp-alibabacloud-fnf

阿里云 FNF (Serverless 工作流) MCP Server — 让 AI 助手通过 MCP 协议操作阿里云 FNF。

功能

流程管理

  • 查询流程详情: 获取指定流程的名称、类型、执行模式、描述等信息
  • 流程列表: 批量查询流程,支持分页

执行管理

  • 异步启动执行: 启动流程执行并立即返回
  • 同步启动执行: 启动流程执行并等待完成
  • 停止执行: 停止正在运行的执行
  • 查询执行状态: 获取指定执行的状态信息
  • 执行历史列表: 查询流程的执行记录列表,支持分页
  • 执行步骤详情: 获取执行的每个步骤的详细信息

快速开始

安装

pip install yuppie-mcp-alibabacloud-fnf

配置

通过环境变量配置阿里云凭证:

export FNF_ACCESS_KEY_ID=your_access_key_id
export FNF_ACCESS_KEY_SECRET=your_access_key_secret
# 可选:指定 endpoint(默认 cn-hangzhou.fnf.aliyuncs.com)
export FNF_ENDPOINT=cn-hangzhou.fnf.aliyuncs.com

运行

yuppie-mcp-alibabacloud-fnf

MCP 集成

Claude Code

在 .mcp.json 中添加:

{
  "mcpServers": {
    "alibabacloud-fnf": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--refresh", "yuppie-mcp-alibabacloud-fnf"],
      "env": {
        "FNF_ACCESS_KEY_ID": "<your_access_key_id>",
        "FNF_ACCESS_KEY_SECRET": "<your_access_key_secret>",
        "FNF_ENDPOINT": "cn-hangzhou.fnf.aliyuncs.com"
      }
    }
  }
}

Cursor

在 ~/.cursor/mcp.json 中添加同上配置。

Cherry Studio / Claude Desktop / OpenCode

参照上方 env 字段,按各自 MCP 配置格式填入即可。

环境变量

变量 必填 默认值 说明
FNF_ACCESS_KEY_ID 是 - 阿里云 AccessKey ID(也兼容 ALIBABA_CLOUD_ACCESS_KEY_ID)
FNF_ACCESS_KEY_SECRET 是 - 阿里云 AccessKey Secret(也兼容 ALIBABA_CLOUD_ACCESS_KEY_SECRET)
FNF_ENDPOINT 否 cn-hangzhou.fnf.aliyuncs.com FNF 服务地址

开发

uv pip install -e ".[dev]"
uv run pytest -v

本地调试

# 方式1: 直接通过环境变量运行
FNF_ACCESS_KEY_ID=xxx FNF_ACCESS_KEY_SECRET=xxx uv run yuppie-mcp-alibabacloud-fnf

# 方式2: 使用 .env 文件(推荐)
# 先编辑 .env 填入真实凭证,然后:
uv run yuppie-mcp-alibabacloud-fnf

# 方式3: 使用 MCP Inspector 调试
npx @modelcontextprotocol/inspector uv run yuppie-mcp-alibabacloud-fnf

工具列表

工具名 说明
fnf_describe_flow 获取 FNF 流程信息
fnf_describe_flow_inputs 获取 FNF 流程信息及入参定义(含类型、示例 JSON)
fnf_list_flows 查询 FNF 流程列表
fnf_start_execution 异步启动 FNF 流程执行
fnf_start_sync_execution 同步启动 FNF 流程执行
fnf_stop_execution 停止 FNF 流程执行
fnf_describe_execution 查询 FNF 执行状态
fnf_list_executions 查询 FNF 执行历史列表
fnf_get_execution_history 获取 FNF 执行步骤详情

入参定义(fnf_describe_flow_inputs)

fnf_describe_flow_inputs 可以从 Flow 的 States 中解析出入参定义,让 AI 知道每个参数的格式。

在 FNF Flow 中创建一个 模板转换 节点(Action: Extensions:TemplateTransform), template 字段写入参的 JSON 定义:

支持的类型

类型 含义 示例值
string 字符串 "示例文本"
int 整数 0
select 下拉选择(需 enum) "第一个选项"
object JSON 对象 {"key": "value"}
array[string] 字符串数组 ["item1", "item2"]
file 单文件 "https://example.com/file.pdf"
file-list 文件列表 ["url1", "url2"]

示例

{
    "title": {"type": "string", "label": "文章标题", "required": 1},
    "partment": {"type": "select", "label": "部门", "enum": ["销售部", "技术部"]},
    "count": {"type": "int", "label": "数量"},
    "info": {"type": "object", "label": "详细信息"},
    "tags": {"type": "array[string]", "label": "标签"},
    "cover": {"type": "file", "label": "封面URL"},
    "attachments": {"type": "file-list", "label": "附件列表"}
}

许可证

MIT

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