Ultralytics Platform MCP

Name: Ultralytics Platform MCP
Author: amanharshx

by amanharshxversion 0.1.14i★ –iRuns on your computer

Registry nameio.github.amanharshx/ultralytics-mcp

Install

Overview

Description from the maker (original English)

MCP server for Ultralytics Platform projects, datasets, training, prediction, exports, and models.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 318/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Databases & datasets
You need to fill in: ULTRALYTICS_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: ULTRALYTICS_API_KEY, ULTRALYTICS_API_BASE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ultralytics": {
      "command": "npx",
      "args": [
        "-y",
        "ultralytics-mcp"
      ],
      "env": {
        "ULTRALYTICS_API_KEY": "your-value",
        "ULTRALYTICS_API_BASE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ultralytics --env ULTRALYTICS_API_KEY=your-value --env ULTRALYTICS_API_BASE=your-value -- npx -y ultralytics-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ultralytics": {
      "command": "npx",
      "args": [
        "-y",
        "ultralytics-mcp"
      ],
      "env": {
        "ULTRALYTICS_API_KEY": "your-value",
        "ULTRALYTICS_API_BASE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ultralytics": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ultralytics-mcp"
      ],
      "env": {
        "ULTRALYTICS_API_KEY": "your-value",
        "ULTRALYTICS_API_BASE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

ULTRALYTICS_API_KEY secret required env
Ultralytics Platform API key.
ULTRALYTICS_API_BASE env
Optional Ultralytics API base URL override.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account amanharshx, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

More stars than 0% of the other 1152 servers in this category
Published to the registry more recently than 43% of the other 1152 servers in this category
Basic checks equal to or better than 100% of the other 1152 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Ultralytics Platform MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ULTRALYTICS_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.14) reached the registry 37 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Ultralytics Platform MCP

MCP server for Ultralytics Platform workflows: projects, datasets, models, training, prediction, exports, and dataset uploads.

[!IMPORTANT]

Independent community project. Not affiliated with or endorsed by Ultralytics.

Install · Tools · Safety · Troubleshooting

Try Asking

"Show me my Ultralytics projects and which datasets are ready to train on."
"Create a private project called traffic-cams and upload ./clips/junction.mp4 as a dataset."
"Fine-tune yolo11n on traffic-cams for 50 epochs."
"How is that training going? Show me the last 10 epochs of metrics."
"Run the trained model on https://example.com/frame.jpg, then download the weights to ./weights."
"Move my scratch project to trash." (restorable for 30 days)

https://github.com/user-attachments/assets/449d051b-d162-4539-93c5-94be478303f0

Installation

You need:

Node.js >=20
An Ultralytics Platform API key
ffmpeg and ffprobe on PATH, to upload a dataset from a local video file
Claude Code, Codex, or another MCP client that can launch stdio servers

Get an API key

Sign in at Ultralytics Platform, open Settings -> API Keys, and create or copy a key. The official API key docs cover creation, usage, and revocation.

Environment variables

Variable	Required	Description
`ULTRALYTICS_API_KEY`	✅	Ultralytics API key. Expected format: `ul_` followed by 40 hex characters
`ULTRALYTICS_API_BASE`	❌	Advanced: override API base URL. Default: `https://platform.ultralytics.com/api`

Treat ULTRALYTICS_API_KEY as a bearer token. Pass it through your MCP client's environment configuration only. Never paste real keys into prompts, scripts, or committed config files. Project-scoped .mcp.json files are ignored by this repo to reduce accidental key commits; if a key is exposed, revoke it in Ultralytics Platform and create a replacement.

Standard config

Works in MCP clients that accept JSON stdio server definitions.

"mcpServers": { "ultralytics": { "command": "npx", "args": ["-y", "ultralytics-mcp@latest"], "env": { "ULTRALYTICS_API_KEY": "ul_your_api_key_here" } } } }

These examples track the latest published npm release. Restart your MCP client or session after upgrading, so the new server process picks up the latest package.

Antigravity

Add the standard config above through Antigravity settings, or by editing your configuration file directly.

Claude Code

claude mcp add ultralytics --env ULTRALYTICS_API_KEY=ul_your_api_key_here -- npx -y ultralytics-mcp@latest

Or add a project-scoped server in repo-root .mcp.json:

"mcpServers": { "ultralytics": { "command": "npx", "args": ["-y", "ultralytics-mcp@latest"], "env": { "ULTRALYTICS_API_KEY": "ul_your_api_key_here" } } } }

Claude Desktop

Follow the MCP install guide with the standard config above.

Codex

codex mcp add ultralytics --env ULTRALYTICS_API_KEY=ul_your_api_key_here -- npx -y ultralytics-mcp@latest

Or add it directly to ~/.codex/config.toml:

[mcp_servers.ultralytics]

command = "npx" args = ["-y", "ultralytics-mcp@latest"]

[mcp_servers.ultralytics.env] ULTRALYTICS_API_KEY = "ul_your_api_key_here"

Cursor

Important

The install button writes a placeholder key. After installing, open your Cursor MCP config and replace ul_your_api_key_here with your Ultralytics API key, then restart Cursor.

To install manually, go to Cursor Settings -> MCP -> Add new MCP Server (or edit ~/.cursor/mcp.json) and use the standard config above.

Gemini CLI

Follow the MCP install guide with the standard config above.

VS Code / Copilot

Important

The install button writes a placeholder key. After installing, open your VS Code MCP config and replace ul_your_api_key_here with your Ultralytics API key, then restart VS Code.

To install manually, follow the MCP install guide, or use the VS Code CLI:

code --add-mcp '{"name":"ultralytics","command":"npx","args":["-y","ultralytics-mcp@latest"],"env":{"ULTRALYTICS_API_KEY":"ul_your_api_key_here"}}'

Verify

Run claude mcp list or codex mcp list. You should see ultralytics among the configured MCP servers.

Tools

See TOOLS.md for the full parameter reference, safety notes, local-path behavior, and examples for the tricky tools.

Safety

Projects and datasets are created private by default, even though the platform itself defaults to public
export_create requires confirm_cost: true
training_start requires confirm_cost: true, plus confirm_history_loss: true when restarting training on an existing model that already has a recorded run. That path replaces its status, epoch count, and training result history irrecoverably
Starting a training job or an export is billable immediately, so the estimated cost and remaining balance are reported after the job starts, not before
training_start in checkpoint mode (a base checkpoint like yolo11n.pt, not an existing model ref) creates the project model before the platform checks the checkpoint's task against the dataset's
If that check fails, the model it already created is not deleted automatically. The error names the model; review it and delete it with models_delete if it is unwanted
Cancelling a running training job preserves the latest checkpoint and keeps the model
export_cancel proceeds only when it observes an export as queued, starting, or running, and refuses every other status, including unrecognized ones. Because the status check and the cancel request are not atomic, an export that finishes between them may have its artifact irreversibly deleted
Deleting a project or dataset is a soft delete to trash, restorable for 30 days. Deleting a project reports the cascade count; deleting a dataset moves its images and annotations with it and leaves models trained on it unaffected
Ambiguous project or dataset refs fail instead of guessing
Undeclared tool arguments fail instead of being silently ignored
Signed upload and download URLs do not forward Authorization
Local upload tools, model_predict with file_path, and deployment_predict read files from the MCP client host; approve calls only for paths you expect to share with Ultralytics
model_download writes to the requested local path; review output_path and overwrite before approving
Adding a named YOLO ZIP (with data.yaml class names) to an existing dataset imports its labels and merges classes
Re-ingest does not re-label images already in the dataset (use the annotation editor); re-uploading the same image under a different split can create a duplicate

Troubleshooting

Invalid API key

ULTRALYTICS_API_KEY must start with ul_ and contain exactly 40 hex characters after the prefix.

Server not loading

Run claude mcp list or codex mcp list, then verify that npx and Node.js are installed and that ULTRALYTICS_API_KEY reached the client — passed with --env when adding the server, or set in ~/.codex/config.toml. In Claude Code, claude mcp get ultralytics shows the resolved config.

To smoke-test the server on its own:

ULTRALYTICS_API_KEY=ul_your_api_key_here npx -y ultralytics-mcp@latest

If the command exits immediately with a config error, fix the environment first.

Platform API errors

For authentication, rate-limit, or endpoint behavior, compare against the official Ultralytics Platform REST API docs. When asking for help, include the tool name, request summary, response status, redacted response body, and a minimal reproduction. Do not include real API keys, signed URLs, private dataset contents, or private model artifacts.

Contributing

See CONTRIBUTING.md for setup, the check suite, and the live smoke test.

Ultralytics Platform MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

Ultralytics Platform MCP

Try Asking

Installation

Get an API key

Environment variables

Standard config

Verify

Tools

Safety

Troubleshooting

Invalid API key

Server not loading

Platform API errors

Contributing