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
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"hris": {
"command": "python",
"args": [
"-m",
"src.smolagent_api"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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