# Zava Relocation MCP UI Demo

> Zava Relocation MCP UI Demo — stvflowers-zava-mcp-ui. Use this tool when you need to streamline employee relocation processes through an interactive intake form, enabling efficient data collection and document management. It solves problems related to manual data entry, document handling, and language interpretation, providing a seamless experience for users. The tool accepts user inputs through chat, document uploads, and outputs extracted data and interpreted information.

Canonical page: https://skillsregistry.net/skills/stvflowers-zava-mcp-ui  
JSON: https://api.skillsregistry.net/v1/skills/stvflowers-zava-mcp-ui

## Description

An MCP server that powers an interactive employee relocation intake form, enabling chat-driven completion, document upload/extraction, and local Qwen2.5 7B interpretation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hky5k56o3h)
- **Repository:** <https://github.com/stvflowers/zava-mcp-ui>

## 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": "stvflowers-zava-mcp-ui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stvflowers-zava-mcp-ui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stvflowers-zava-mcp-ui/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