# Label Studio MCP Server

> Use this tool when you need to streamline data labeling and annotation for machine learning model training, solving problems such as inefficient data preparation and inconsistent labeling. It provides a centralized platform for collaborative data annotation, accepting datasets as input and producing high-quality labeled data as output. Ideal for use cases where large amounts of data require accurate and consistent labeling, such as computer vision, natural language processing, and audio processing applications.

Canonical page: https://skillsregistry.net/skills/humansignal-label-studio-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/humansignal-label-studio-mcp-server

## Description

Label Studio MCP Server

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qatl4ioshq)
- **Repository:** <https://github.com/HumanSignal/label-studio-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": "humansignal-label-studio-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/humansignal-label-studio-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/humansignal-label-studio-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