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Fiftyone Mcp Server

adonaivera/fiftyone-mcp-server
17STDIOregistry active
Summary

This server gives Claude direct access to FiftyOne's computer vision dataset platform through 45+ tools spanning three operational modes. You get SDK tools for querying datasets and running aggregations anywhere, APP tools for controlling the live FiftyOne browser interface (set views, open panels, select samples), and SESSION tools for launching the app from a terminal. The real power is in the operator system: it exposes FiftyOne's entire plugin ecosystem, letting the AI discover and execute any installed operator, from brain embeddings to annotation integrations. Each tool carries a risk level tag so you can auto-approve safe reads while prompting for destructive operations. Install it as a Claude Desktop server for terminal workflows or drop it into the FiftyOne App itself as an agent panel for real-time UI control.

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FiftyOne MCP Server

 

Control FiftyOne datasets through AI assistants using the Model Context Protocol

License PyPI Python

Discord Hugging Face Voxel51 Blog Newsletter LinkedIn Twitter Medium

Documentation · FiftyOne Skills · FiftyOne Plugins · Discord

What is the FiftyOne MCP Server?

Enable Agents to explore datasets, execute operators, and control the FiftyOne App through natural language. This server exposes 45+ MCP tools across data operations, App UI control, and the full operator/plugin ecosystem.

"List all my datasets"
"Load quickstart dataset and show summary"
"Find similar images in my dataset"

The server starts with 50 built-in operators. Install plugins to expand functionality - the AI can discover and install plugins automatically when needed (brain, zoo, annotation, evaluation, and more).

Available Tools

CategoryToolsDescription
📊 Dataset Management3List, load, and summarize datasets
🎯 App Operations29Control the App UI (views, panels, selection, ...)
⚡ Operator System3Discover and execute any FiftyOne operator
🔄 Pipelines2Run pipelines and manage delegated operations
🔌 Plugin Management5Discover, install, and manage plugins
🖥️ Session1Launch the FiftyOne App server
📈 Aggregations8Count, distinct, bounds, mean, histogram, ...
🧬 Samples5Add, tag, untag, and set values on samples
🗂️ Schema2Inspect and modify dataset field schemas
🎨 App Config6Color scheme, sidebar groups, active fields

Tool modes

45+ tools organized by runtime mode:

  • SDK: Data operations that work everywhere (datasets, aggregations, schema, samples, operators, plugins). No App connection needed.
  • APP: Controls the FiftyOne App UI in real time (set_view, open_panel, notify, select_samples, reload, and 25+ more). Requires a connected browser via ctx.ops.
  • SESSION: Bootstrap tools for starting a local App server (launch_app). Used from terminal environments.

Choosing your tools

Which tools are available depends on how you integrate the server:

IntegrationModesUse case
FiftyOne App pluginapp + sdkAgent panel inside the App (full UI control + data operations)
Terminal / CLIsession + sdkHeadless agent (launch the App, query data, execute operators)

Tool risk levels

Every tool is tagged with a risk level that your agent can use for auto-approval decisions:

  • LOW Safe to auto-execute without prompting (read-only queries, UI state changes)
  • OPERATOR Wraps a FiftyOne operator whose own severity should be checked before executing

Quick Start

Step 1: Install the MCP Server

pip install fiftyone-mcp-server

⚠️ Important: Make sure to use the same Python environment where you installed the MCP server when configuring your AI tool. If you installed it in a virtual environment or conda environment, you must activate that environment or specify the full path to the executable.

Step 2: Configure Your AI Tool

Claude Code (Recommended)
claude mcp add fiftyone -- fiftyone-mcp
Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "fiftyone": {
      "command": "fiftyone-mcp"
    }
  }
}
Cursor

Install in Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "fiftyone": {
      "command": "fiftyone-mcp"
    }
  }
}
VSCode

Install in VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "fiftyone": {
      "command": "fiftyone-mcp"
    }
  }
}
ChatGPT Desktop

Edit ~/Library/Application Support/ChatGPT/config.json:

{
  "mcpServers": {
    "fiftyone": {
      "command": "fiftyone-mcp"
    }
  }
}
uvx (No Install Needed)

If you have uv installed:

{
  "mcpServers": {
    "fiftyone": {
      "command": "uvx",
      "args": ["fiftyone-mcp-server"]
    }
  }
}

This downloads and runs the latest version automatically.

Step 3: Use It

"List all my datasets"
"Load quickstart dataset and show summary"
"Open the map panel and show me the embeddings"
"Select samples with confidence above 0.9"
"What plugins are available? Install the brain plugin"
"Find near-duplicate images in my dataset"

Claude will automatically discover operators and execute the appropriate tools.

Contributing

We welcome contributions! Here's how to set up a local development environment:

  1. Clone the repository

    git clone https://github.com/voxel51/fiftyone-mcp-server.git
    cd fiftyone-mcp-server
    
  2. Install dependencies

    poetry install
    
  3. Run the server locally

    poetry run fiftyone-mcp
    
  4. Test your changes

    poetry run pytest
    poetry run black -l 79 src/
    npx @modelcontextprotocol/inspector poetry run fiftyone-mcp
    
  5. Submit a Pull Request

Resources

ResourceDescription
FiftyOne DocsOfficial documentation
FiftyOne SkillsExpert workflows for AI assistants
FiftyOne PluginsOfficial plugin collection
Model Context ProtocolMCP specification
PyPI PackageMCP server on PyPI
Discord CommunityGet help and share ideas

Community

Join the FiftyOne community to get help, share your ideas, and connect with other users:

  • Discord: FiftyOne Community
  • GitHub Issues: Report bugs or request features

Copyright 2017-2026, Voxel51, Inc. · Apache 2.0 License

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Registryactive
Packagefiftyone-mcp-server
TransportSTDIO
UpdatedDec 20, 2025
View on GitHub