Label Studio
Open-source data labeling platform for creating high-quality training data for machine learning models.
Label Studio is a community maintained MCP server developed by HumanSignal in the Development category. Open-source data labeling platform for creating high-quality training data for machine learning models. Built with Python and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. Install via pip with `pip install label-studio-mcp`. The project has 15 GitHub stars.
Features
Category
Everything
Reference / test server with prompts, resources, and tools
GitHub
Access GitHub repositories, issues, and pull requests.
GitLab
GitLab API, enabling project management
Sequential Thinking
Dynamic and reflective problem-solving through thought sequences
Git
Tools to read, search, and manipulate Git repositories
Sentry
Retrieving and analyzing issues from Sentry.io