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HONO AI HCM MCP Server

@Sequelone-HONOHR

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Sequelone-HONOHR

提交者

Sequel One Solutions Pvt Ltd

关于 HONO AI HCM MCP Server

暂无概览

#hrms#hris#mcp-server#hono#sequelone#mcp#ai

HONO AI HCM MCP Server 配置

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"
      ]
    }
  }
}

HONO AI HCM MCP Server 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 HONO AI HCM MCP Server?

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.

How to use HONO AI HCM MCP Server?

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.

Key features of HONO AI HCM MCP Server

  • Employee profiles with over 100 fields
  • Real-time attendance and leave tracking
  • Natural language HR policy search
  • Automated token generation and refresh
  • Dual formatting modes (JSON and AI-enhanced markdown)
  • Multi-tenant support with domain-based authentication

Use cases of HONO AI HCM MCP Server

  • Query employee profiles and organizational data via AI chatbot
  • Track team attendance, leaves, and shift information in real time
  • Search HR policies using natural language queries
  • Integrate HR data into custom LLM applications or GPT plugins
  • Automate HR workflows with AI-driven responses

常见问题

1

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.

2

What platforms are supported?

Claude Desktop, ChatGPT, LM Studio, LangChain, LlamaIndex, and custom applications via REST API.

3

How is authentication handled?

Authentication uses domain-based and company-code isolation with environment-based configuration; tokens have a 24-hour lifecycle with automatic refresh.

4

Is it production-ready?

Yes, it includes error handling, logging, monitoring, scalability, token management, and rate-limiting readiness.

5

Can it be used with multi-tenant environments?

Yes, it supports multi-tenancy through domain-based authentication and company-code isolation with configurable defaults per environment.

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