Label Studio MCP Server
Type: server
Author: Human Signal
Language: Python
Tags: [data labeling, data science]
Description: The Label Studio MCP enables seamless management and orchestration of data labeling workflows within Label Studio, the leading open-source data annotation platform. With this MCP, users can programmatically create and configure labeling projects, manage tasks at scale, and automate prediction workflows—empowering teams to efficiently curate high-quality training data for machine learning and AI initiatives.
Tools:
Server command: LABEL_STUDIO_API_KEY={LABEL_STUDIO_API_KEY} LABEL_STUDIO_URL={LABEL_STUDIO_URL} uvx --from git+https://github.com/HumanSignal/label-studio-mcp-server mcp-label-studio
Server configuration:
{
    "mcpServers": {
        "label-studio": {
            "command": "uvx",
            "args": [
                "--from",
                "git+https://github.com/HumanSignal/label-studio-mcp-server",
                "mcp-label-studio"
            ],
            "env": {
                "LABEL_STUDIO_API_KEY": "<YOUR_API_KEY>",
                "LABEL_STUDIO_URL": "<YOUR_LABEL_STUDIO_URL>"
            }
        }
    }
}