HONO AI HCM MCP Server

Name: HONO AI HCM MCP Server
Author: Sequelone-HONOHR

@Sequelone-HONOHR

代码仓库

关于 HONO AI HCM MCP Server

暂无概览

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

基本信息

分类

其他

传输方式

stdio

发布者

Sequelone-HONOHR

提交者

Sequel One Solutions Pvt Ltd

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from HONO AI HCM MCP Server

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.

What platforms are supported?

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

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.

Is it production-ready?

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

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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