# Mcity Data Engine MCP Server

> Use this tool when you need to streamline complex computer vision workflows through natural language interaction, solving problems such as auto-labeling and class mapping. It takes in natural language inputs and outputs orchestrated computer vision workflows, enabling efficient embedding selection and management. Ideal for use cases where simplicity and accessibility are crucial for computer vision tasks.

Canonical page: https://skillsregistry.net/skills/mcity-mcity-data-agent  
JSON: https://api.skillsregistry.net/v1/skills/mcity-mcity-data-agent

## Description

Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vk7l5kozi5)
- **Repository:** <https://github.com/mcity/mcity_MSight_agent>

## 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": "mcity-mcity-data-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcity-mcity-data-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcity-mcity-data-agent/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