# FiftyOne

> Use this tool when you need to manage and analyze computer vision datasets, solve problems related to data annotation, and execute operators for image processing tasks. FiftyOne integrates with AI assistants to provide tools for dataset listing, image similarity search, and annotation management, streamlining dataset management workflows. It accepts dataset inputs and outputs managed datasets, operator results, and annotation data, making it ideal for computer vision and machine learning applications.

Canonical page: https://skillsregistry.net/skills/adonaivera-fiftyone  
JSON: https://api.skillsregistry.net/v1/skills/adonaivera-fiftyone

## Description

Enables control of FiftyOne computer vision datasets through MCP. Provides 16 tools for dataset management, operator execution, plugin management, and session handling. Integrates FiftyOne's computer vision framework capabilities with AI assistants for tasks like dataset listing, image similarity search, and annotation management.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adonaivera-fiftyone)
- **Repository:** <https://github.com/voxel51/fiftyone-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": "adonaivera-fiftyone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adonaivera-fiftyone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adonaivera-fiftyone/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