# HRMS-Snaplogic-MCP

> Use this tool when you need to integrate HRMS systems with Snaplogic, enabling AI assistants to interact with HR data pipelines through the Model Context Protocol. It solves problems of data siloing and manual data transfer, allowing for automated and efficient HR data management. This tool accepts HR data as input and outputs integrated data pipelines, ideal for use cases requiring seamless HR system connectivity and AI-driven insights.

Canonical page: https://skillsregistry.net/skills/ashish-d-d-hrms-snaplogic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ashish-d-d-hrms-snaplogic-mcp

## Description

Enables integration between HRMS systems and Snaplogic through the Model Context Protocol, allowing AI assistants to interact with HR data pipelines.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jvlus0fh2g)
- **Repository:** <https://github.com/ashish-d-d/HRMS-Snaplogic-MCP>

## 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": "ashish-d-d-hrms-snaplogic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashish-d-d-hrms-snaplogic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashish-d-d-hrms-snaplogic-mcp/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