# HR Solx MCP Server

> Use this tool when you need to integrate AI models with HR systems, enabling natural language management of user data, geographic information, and professional skills. It solves problems related to user account management, data retrieval, and system health checks, providing a bridge between AI and the HR Solx REST API. The tool accepts natural language inputs and returns relevant data, such as user accounts, reference data, and health check results, making it ideal for use cases involving automated HR data management and analysis.

Canonical page: https://skillsregistry.net/skills/jaskaran-ai-hr-solx-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jaskaran-ai-hr-solx-mcp-server

## Description

Acts as a bridge between AI models and the HR Solx REST API, enabling natural language management of users, geographic data, and professional skills. It provides tools for performing health checks, retrieving reference data, and creating or listing user accounts.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fch4p6m9us)
- **Repository:** <https://github.com/jaskaran-ai/hr-solx-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jaskaran-ai-hr-solx-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jaskaran-ai-hr-solx-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jaskaran-ai-hr-solx-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt