6 months ago
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.
Overview
what is MCP server for Label Studio?
MCP server for Label Studio is a server designed to enhance the functionality of Label Studio, a data labeling tool, by providing additional features and capabilities for managing and processing data annotations.
how to use MCP server for Label Studio?
To use the MCP server, set it up alongside your Label Studio instance, configure the necessary parameters, and start utilizing its features for improved data annotation workflows.
key features of MCP server for Label Studio?
- Integration with Label Studio for enhanced data annotation capabilities
- Support for managing multiple annotation projects
- Customizable server settings to fit specific project needs
use cases of MCP server for Label Studio?
- Managing large-scale data annotation projects efficiently.
- Enhancing collaboration among team members working on data labeling tasks.
- Streamlining the workflow for data scientists and machine learning engineers.
FAQ from MCP server for Label Studio?
- What is the purpose of the MCP server?
The MCP server is designed to extend the functionality of Label Studio, making it easier to manage and process data annotations.
- Is the MCP server free to use?
The licensing details are not specified, please check the repository for more information.
- How can I contribute to the MCP server project?
Contributions can be made by submitting pull requests on the GitHub repository.
Server Config
{
"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>"
}
}
}
}