What data does HONO AI HCM MCP Server access?
It accesses employee profiles (personal, employment, compensation, organizational hierarchy), team management data (attendance, leaves, shifts), and an HR knowledge base for policy search.
@Sequelone-HONOHR
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"hris": {
"command": "python",
"args": [
"-m",
"src.smolagent_api"
]
}
}
}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。
It is a Model Context Protocol-compliant server that bridges HRIS (Human Resource Information System) with AI models and applications, providing intelligent access to employee profiles, team management, and HR policy search. It is designed for use with ChatGPT plugins, LLM applications, internal AI chatbots, and HR automation workflows.
It can be used as an MCP server with compatible clients like Claude Desktop, LM Studio, LangChain, and LlamaIndex, or as a REST API for custom applications. Configuration is environment-based with no hard-coded secrets; token management and authentication are handled automatically.
It accesses employee profiles (personal, employment, compensation, organizational hierarchy), team management data (attendance, leaves, shifts), and an HR knowledge base for policy search.
Claude Desktop, ChatGPT, LM Studio, LangChain, LlamaIndex, and custom applications via REST API.
Authentication uses domain-based and company-code isolation with environment-based configuration; tokens have a 24-hour lifecycle with automatic refresh.
Yes, it includes error handling, logging, monitoring, scalability, token management, and rate-limiting readiness.
Yes, it supports multi-tenancy through domain-based authentication and company-code isolation with configurable defaults per environment.
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