yingdao_mcp_server
影刀RPA MCP Server
Documentation
影刀RPA MCP Server
影刀RPA:一个RPA低代码平台,一款人人可用的RPA自动化产品,能够将人从重复的劳动中解放出来。
影刀AI Power:一个AI低代码平台,能够快速创建AI智能体、AI工作流,帮助用户把AI用起来。
影刀 RPA MCP Server 基于 Model Context Protocol (MCP) 实现,为影刀AI Power及其他可作为MCP Host的工具(如 Claude Desktop、Cursor 等)提供调用RPA的能力。
同时支持SSE Server与Stdio Server两种模式。
如何开始
支持两种方式来运行影刀RPA
本地模式
设置环境变量
注意:本地模式下,智能获取并运行“我获取的应用”并已经被至少执行过一次的应用
RPA_MODEL=local
SHADOWBOT_PATH={your_shadowbot_path} //影刀rpa的exe路径
USER_FOLDER={your_user_folder} //影刀rpa的用户文件夹路径影刀RPA的exe路径
Windows
注意:windows下在AI Power客户端中,路径要使用双斜杠
D://Program Files//{安装目录}//ShadowBot.exeMac
/Applications/影刀.app影刀RPA的用户文件夹路径
在影刀RPA的设置中,找用户文件夹选项
开放API模式 (仅支持企业用户)
设置环境变量
RPA_MODEL=openApi
ACCESS_KEY_ID={your_access_key_id}
ACCESS_KEY_SECRET={your_access_key_secret}获取方式
企业管理员登录影刀RPA控制台获取,请参考影刀RPA帮助文档-鉴权
Stdio Server启动
在客户端中配置
{
"mcpServers": {
"YingDao RPA MCP Server": {
"command": "npx",
"args": ["-y", "yingdao-mcp-server"],
"env":{
"RPA_MODEL":"openApi",
"ACCESS_KEY_ID":"{your_access_key_id}",
"ACCESS_KEY_SECRET":"{your_access_key_secret}"
}
}
}
}SSE Server配置
构建
Clone the repository and build:
git clone https://github.com/ying-dao/yingdao_mcp_server.git
cd yingdao_mcp_server
npm install
npm run build配置
添加.env文件,配置项参考以上描述
启动
npm run start:server客户端配置
AI Power 客户端配置
{
"mcpServers": {
"YingDao RPA MCP Server": {
"url": "http://localhost:3000/sse",
"description": "影刀 MCP Server"
}
}
}默认端口为3000
能力
本地模式
1. queryRobotParam: 查询RPA应用的参数
2. queryApplist: 查询RPA应用的列表
3. runApp: 运行RPA应用
开放API模式
1. uploadFile: 上传文件到RPA平台
2. queryRobotParam: 查询RPA应用参数
3. queryApplist: 获取分页RPA应用列表
4. startJob: 启动RPA作业
5. queryJob: 查询RPA作业状态
6. queryClientList: 查询调度RPA机器人列表
License
MIT
Frequently asked questions
What is yingdao_mcp_server?
yingdao_mcp_server is 影刀RPA MCP Server
How do I install yingdao_mcp_server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is yingdao_mcp_server open source?
Yes — it is hosted on GitHub at https://github.com/ying-dao/yingdao_mcp_server and has 47 stars.
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