# Image Label (pypi · label-image-mcp)

Manage images and annotations in the Image Label app, and export COCO or YOLO datasets.

- Trust score: 59/100 (low)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-18

## Components

- pypi · `label-image-mcp`: 59/100 (this document), [markdown](https://verifymcp.io/servers/sachinbkale27-label-image-mcp/label-image-mcp.md), [page](https://verifymcp.io/servers/sachinbkale27-label-image-mcp/label-image-mcp)

## Channel facts

- Registry: `pypi`
- Package: `label-image-mcp`
- Version: `0.1.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-18.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 0 of 29 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to sachinbkale27/label-image-mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 0 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 57/100
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 341 tokens (~42/item across 8 items; 8 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 75/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "remove_annotations" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the Image Label MCP server?

Image Label runs locally as a PyPI package, launched with uvx label-image-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add sachinbkale27-label-image-mcp -- uvx label-image-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "sachinbkale27-label-image-mcp": {
      "command": "uvx",
      "args": [
        "label-image-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "sachinbkale27-label-image-mcp": {
      "command": "uvx",
      "args": [
        "label-image-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add sachinbkale27-label-image-mcp -- uvx label-image-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "sachinbkale27-label-image-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "label-image-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add sachinbkale27-label-image-mcp --command uvx --arg label-image-mcp
```

### Hermes

```yaml
mcp_servers:
  sachinbkale27-label-image-mcp:
    command: "uvx"
    args: ["label-image-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "sachinbkale27-label-image-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "label-image-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add sachinbkale27-label-image-mcp -t stdio -c uvx -a label-image-mcp
```

### Other

```json
{
  "mcpServers": {
    "sachinbkale27-label-image-mcp": {
      "command": "uvx",
      "args": [
        "label-image-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-17 (score 59)

First indexed and scored.

## MCP tools (8)

### `list_images` (~42 tokens)

List images saved in Image Label, optionally filtered by category (case-insensitive).
Returns summaries; use get_image for annotations and the viewing URL.

Input parameters:

- `category`

Output parameters:

- `result` (array)

### `get_image` (~36 tokens)

Get one image's metadata, all annotations, and a signed viewing URL (valid 24h).

Input parameters:

- `image_id` (string, required)

### `update_image_metadata` (~58 tokens)

Update an image's name, category, sub-category or description. Omitted fields are left unchanged.

Input parameters:

- `category`
- `description`
- `image_id` (string, required)
- `name`
- `sub_category`

### `add_annotations` (~34 tokens)

Append annotations to an image, keeping the existing ones.

Input parameters:

- `annotations` (array, required)
- `image_id` (string, required)

### `replace_annotations` (~42 tokens)

Replace ALL annotations on an image with the given list. Pass an empty list to clear them.

Input parameters:

- `annotations` (array, required)
- `image_id` (string, required)

### `remove_annotations` (~34 tokens)

Remove specific annotations from an image by their ids.

Input parameters:

- `annotation_ids` (array, required)
- `image_id` (string, required)

### `upload_image` (~48 tokens)

Upload a local image file (path on the machine running this server) to Image Label.

Input parameters:

- `category`
- `description`
- `name`
- `path` (string, required)

### `export_annotations` (~47 tokens)

Export an image's polygon and circle annotations as COCO JSON or YOLO, same as the web app's export.

Input parameters:

- `format` (string)
- `image_id` (string, required)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/sachinbkale27-label-image-mcp/label-image-mcp#diagnostics

## Score history

- 2026-10-18: 59
- 2026-10-17: 59

## Common questions

### What is the Image Label MCP server?

Image Label is an MCP server listed in the public MCP registry as io.github.sachinbkale27/label-image-mcp. Manage images and annotations in the Image Label app, and export COCO or YOLO datasets. This page covers its PyPI package (label-image-mcp).

### Is the Image Label MCP server safe to use?

Image Label scores 59 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 18 October 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Image Label MCP server expose?

Image Label exposes 8 tools: list_images, get_image, update_image_metadata, add_annotations, replace_annotations, and 3 more. Their descriptions and schemas cost roughly 341 tokens of context every time the server is loaded.

### Is the Image Label MCP server still maintained?

Image Label is still listed as active in the MCP registry. We last reached this channel on 18 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Image Label MCP server under?

Image Label declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/label-image-mcp/
- Socket report: https://socket.dev/pypi/package/label-image-mcp
- Repository: https://github.com/sachinbkale27/label-image-mcp
- Website: https://labels.sachin-kale.com/mcp
- Changelog RSS feed: https://verifymcp.io/servers/sachinbkale27-label-image-mcp/label-image-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/sachinbkale27-label-image-mcp/label-image-mcp.json
- HTML version of this page: https://verifymcp.io/servers/sachinbkale27-label-image-mcp/label-image-mcp