# MCP Employee Identity Server

> Use this tool when you need to generate accurate and verified professional profiles for employees, leveraging AI-assisted technology to connect with employer HCM systems and access validated work data, including skills, career history, and certifications. It solves problems of outdated or inaccurate employee profiles, and provides outputs of comprehensive and up-to-date professional identities. Ideal for use cases requiring trusted and reliable employee data, such as talent management, internal mobility, and career development initiatives.

Canonical page: https://skillsregistry.net/skills/anshuman-gaur-ai-builder-mcp-employee-identity  
JSON: https://api.skillsregistry.net/v1/skills/anshuman-gaur-ai-builder-mcp-employee-identity

## Description

This MCP server enables AI-assisted professional profile generation by connecting to verified employee work data (skills, career history, certifications, projects) from employer HCM systems.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wc96pf0q5v)
- **Repository:** <https://github.com/Anshuman-Gaur-AI-Builder/mcp-employee-identity>

## 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": "anshuman-gaur-ai-builder-mcp-employee-identity"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anshuman-gaur-ai-builder-mcp-employee-identity` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anshuman-gaur-ai-builder-mcp-employee-identity/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