@lxkaka
Basic information
mcp server for label studio
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-label-studio": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}A list of all projects with their basic information
`project_id` (string): Label Studio project ID
Detailed project information including label configuration
`title` (string): Project title
New project information
`project_id` (string): Project ID
Updated project information
`project_id` (string): Project ID to delete
Deletion status
`project_id` (string): Project ID
Exported annotation data
`project_id` (string): Project ID
Import status
`project_id` (string): Project ID
List of supported export formats
mcp-label-studio is a Model Context Protocol (MCP) server that connects to Label Studio to manage and interact with annotation projects. It provides tools to create, update, delete projects, import tasks from files, and export annotations in multiple formats, enabling automated data labeling workflows for AI practitioners.
Install via uv (recommended) by cloning the repository and running uv pip install -e . and uv run server.py, or use Docker with docker build and docker run setting the LABEL_STUDIO_API_KEY and LABEL_STUDIO_URL environment variables. Integrate with Claude Desktop by adding the server configuration (uv or docker variant) to claude_desktop_config.json.
Use `uv` by cloning the repository, running `uv pip install -e .`, then `uv run server.py`. Alternatively, build a Docker image with `docker build -t mcp-label-studio .` and run it with the required environment variables.
You must set `LABEL_STUDIO_API_KEY` (your Label Studio API key) and `LABEL_STUDIO_URL` (the URL of your Label Studio instance).
Eight tools: `get_projects`, `get_project_detail`, `create_project`, `update_project`, `delete_project`, `export_project_annotations`, `import_tasks_from_file`, and `get_export_formats`.
Use the MCP inspector: `LABEL_STUDIO_API_KEY=YOUR_API_KEY LABEL_STUDIO_URL=YOUR_URL npx @modelcontextprotocol/inspector uv run server.py` from the project directory.
It is licensed under the MIT License, allowing free use, modification, and distribution.
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