# Labellerr MCP Server

> Use this tool when you need to manage annotation projects and datasets through a centralized interface, solving problems related to data labeling and monitoring operations. It provides a comprehensive interface for AI assistants to interact with the Labellerr SDK, accepting inputs such as project configurations and dataset uploads, and outputting annotated data and operation metrics. Ideal for use cases involving large-scale data annotation and AI model training, this tool streamlines workflow management and collaboration.

Canonical page: https://skillsregistry.net/skills/1sarthakbhardwaj-labellerr-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/1sarthakbhardwaj-labellerr-mcp-server

## Description

A Model Context Protocol (MCP) server that provides a comprehensive interface to the Labellerr SDK for managing annotation projects, datasets, and monitoring operations through AI assistants like Claude Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ah0waex5g6)
- **Repository:** <https://github.com/1sarthakbhardwaj/labellerr-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "1sarthakbhardwaj-labellerr-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1sarthakbhardwaj-labellerr-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1sarthakbhardwaj-labellerr-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt