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Label Studio

Label Studio MCP server by HumanSignal that provides AI assistants with programmatic access to Label Studio data labeling platform through the official label-studio-sdk. The implementation offers comprehensive project management capabilities including creating projects with XML labeling configurations, importing tasks from JSON files, and managing predictions, alongside task-level operations for retrieving data, annotations, and adding model predictions to specific tasks. Built with Python using FastMCP and requiring Label Studio API credentials, it serves teams building AI-powered labeling workflows, data scientists needing conversational access to annotation projects, and organizations integrating Label Studio into broader machine learning pipelines where natural language interaction with labeling infrastructure streamlines data preparation and model training processes.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/humansignal/label-studio-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Label Studio from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"