Label Studio MCP Server

# Label Studio MCP Server ## Overview This project provides a Model Context Protocol (MCP) server that allows interaction with a [Label

Local serverstdio

What is the Label Studio MCP server?

Label Studio MCP Server ## Overview This project provides a Model Context Protocol (MCP) server that allows interaction with a Label Studio instance using the label-studio-sdk. It enables programmatic. Exposed over MCP by the label studio mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

  • Project Management — Create, update, list, and view details/configurations of Label Studio projects
  • Task Management — Import tasks from files, list tasks within projects, and retrieve task data/annotations
  • Prediction Integration — Add model predictions to specific tasks
  • SDK Integration — Leverages the official label-studio-sdk for communication

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Its toolset

Everything the assistant can do here goes through one of these:

  • Predictions — The Predictions tool exposed by this server

Configuration

You will need 2 environment variables: LABEL_STUDIO_API_KEY, LABEL_STUDIO_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  1. Running Label Studio Instance: You need a running instance of Label Studio accessible from where this MCP server will run. 2. API Key: Obtain an API key from your user account settings in Label Studio.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the label studio mcp server does with a few real requests.

When to reach for it

This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Label Studio's toolset — Predictions — is a fair guide to whether it matches your workflow. It is maintained by HumanSignal; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
PredictionsThe Predictions tool exposed by this server.

How to install the Label Studio MCP server

{
    "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_actual_api_key_here", // <-- Your API key
                "LABEL_STUDIO_URL": "http://localhost:8080"
            }
        }
    }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  1. Running Label Studio Instance: You need a running instance of Label Studio accessible from where this MCP server will run. 2. API Key: Obtain an API key from your user account settings in Label Studio.
VariableDescriptionRequired
LABEL_STUDIO_API_KEYCredential the server authenticates with.Yes
LABEL_STUDIO_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use Label Studio to Predictions.

Frequently asked questions

A running Label Studio instance accessible from the server, and an API key from your Label Studio user account. The server uses Python, `uv`, and the `label-studio-sdk`.