# apimodels (npm · apimodels-mcp)

Image, video, chat and speech models with one API key. The model can review its own images.

- Trust score: 64/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-21

## Components

- npm · `apimodels-mcp`: 64/100 (this document), [markdown](https://verifymcp.io/servers/stimqq-apimodels-mcp/apimodels-mcp.md), [page](https://verifymcp.io/servers/stimqq-apimodels-mcp/apimodels-mcp)

## Channel facts

- Registry: `npm`
- Package: `apimodels-mcp`
- Version: `0.2.3`
- 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 2026-09-21.

- **Supply Chain Security**: 81/100
  - No malware found by supply-chain analysis.
  - CVE check failed: a known high-severity CVE affects sharp 0.34.5, a direct dependency. A fixed version is available.
  - No install/post-install scripts declared.
  - 31 of 126 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 2 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1325 tokens (~220/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - 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**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 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 apimodels MCP server?

apimodels runs locally as an npm package, launched with npx -y apimodels-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 stimqq-apimodels-mcp -- npx -y apimodels-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "stimqq-apimodels-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "apimodels-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "stimqq-apimodels-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "apimodels-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add stimqq-apimodels-mcp -- npx -y apimodels-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "stimqq-apimodels-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "apimodels-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add stimqq-apimodels-mcp --command npx --arg -y --arg apimodels-mcp
```

### Hermes

```yaml
mcp_servers:
  stimqq-apimodels-mcp:
    command: "npx"
    args: ["-y", "apimodels-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "stimqq-apimodels-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "apimodels-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add stimqq-apimodels-mcp -t stdio -c npx -a -y apimodels-mcp
```

### Other

```json
{
  "mcpServers": {
    "stimqq-apimodels-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "apimodels-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.

### 2026-09-19 (score 64, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-18 (score 49)

First indexed and scored.

## MCP tools (6)

### `list_models` (~107 tokens)

List the model ids available on apimodels.app (chat, image, video, audio). Use the returned ids with the other tools. Caveat: a handful of entries are internal names that the generation endpoints reject (e.g. seedance-2-fast, seedance-2, motion-control) — the public alias is the dotted form, e.g. seedance-2.0-fast. If an id comes back "Invalid model", try the dotted variant before giving up.

### `chat` (~133 tokens)

Chat / text completion with any LLM on apimodels.app (GPT-5.5, Claude, Gemini, GLM, DeepSeek, Qwen, …). Returns the assistant reply text.

Input parameters:

- `max_tokens` (integer): Optional max output tokens.
- `model` (string): Model id, e.g. gpt-5-5, claude-opus-4-8, claude-sonnet-4-6, gemini-3-pro-preview, deepseek-v4-pro.
- `prompt` (string, required): The user message / prompt.
- `system` (string): Optional system prompt.

### `generate_image` (~328 tokens)

Generate an image from a text prompt (or edit an input image). Returns the URL(s) of the generated image, valid 7 days, plus a downscaled preview of the image itself when the client can show tool-result images to you. If you cannot see the image in the result, call review_image with the returned URL to get a written critique and a revised prompt, then generate again. Roughly $0.025 per image on the default model; gpt-image-2-lite is $0.008.

Input parameters:

- `aspect_ratio` (string): Optional aspect ratio, e.g. 1:1, 16:9, 9:16.
- `image_url` (string): Optional input image for image-to-image edits. Accepts a public https:// URL, a LOCAL FILE PATH, a localhost URL, or a data: URI — local sources are uploaded for you automatically.
- `model` (string): Image model id, e.g. gpt-image-2, gpt-image-2-lite (cheapest), gemini-3-pro-image, gemini-2.5-flash-image, doubao-seedream-4-5-251128.
- `prompt` (string, required): Text description of the image to generate.
- `resolution` (string): Optional resolution, e.g. 1K, 2K, 4K.
- `return_image` (boolean): Attach a downscaled preview (max 1024px JPEG) of the result so you can look at it. Set false to save context when you only need the URL.

### `review_image` (~217 tokens)

Have a vision model look at an image and critique it against a brief. Returns what matches, what is wrong (garbled text, composition, colors, artifacts) and a revised prompt. Use it after generate_image to check the result and decide whether to regenerate — this works in every MCP client, including ones that do not pass tool-result images to you. Costs one small vision chat call (well under $0.01 on the default model).

Input parameters:

- `brief` (string, required): What the image is supposed to show — usually the prompt it was generated from, plus any requirements the user stated (exact text, aspect ratio, style).
- `image_url` (string, required): The image to review: a URL returned by generate_image, any public https:// URL, a LOCAL FILE PATH, a localhost URL, or a data: URI.
- `model` (string): Vision-capable chat model that does the looking. gpt-5.6-luna (default, cheapest) or claude-sonnet-5 for a more careful read.

### `generate_video` (~325 tokens)

Generate a video from a text prompt (and optional reference image). Polls until done and returns the video URL(s), valid 7 days. May take a few minutes. Video is the most expensive modality here — the default model costs roughly $0.30-$0.50 per clip; pass model:"veo-3.1-fast-fhd" for the cheapest option at $0.07 flat.

Input parameters:

- `aspect_ratio` (string): Optional aspect ratio, e.g. 16:9, 9:16, 1:1.
- `duration` (number|string): Optional duration in seconds, e.g. 5 or 10.
- `image_url` (string): Optional first-frame / reference image for image-to-video. Accepts a public https:// URL, a LOCAL FILE PATH, a localhost URL, or a data: URI — local sources are uploaded for you automatically.
- `model` (string): Video model id. Use the dotted public names: seedance-2.0-fast, seedance-2.0, seedance-2.5, veo-3.1-fast-fhd ($0.07 flat, cheapest), veo-3.1, grok-video-3, kling-v2-6, minimax-h3. The bare forms seed…
- `prompt` (string, required): Text description of the video.
- `resolution` (string): Optional resolution, e.g. 480p, 720p, 1080p.

### `text_to_speech` (~215 tokens)

Convert text to speech (MiniMax voices). Returns the audio file URL (valid 7 days). Costs about $0.004 for a short line; billed at $0.04 per 1000 characters.

Input parameters:

- `model` (string): TTS model id, e.g. minimax-speech-02-turbo (fast), minimax-speech-02-hd / minimax-speech-2.8-hd (higher quality). Note: eleven-tts-* models are NOT available here — they stream from POST /v1/tts/stre…
- `speed` (number): Optional speaking rate, 0.5-2 (1 = normal).
- `text` (string, required): The text to speak.
- `voice_id` (string): Voice id. English: English_Trustworthy_Man, English_Graceful_Lady, Serene_Woman. Chinese: male-qn-qingse, female-tianmei. Full list: GET /v1/minimax/voices.

## Diagnostics

Captured diagnostic sections: Provenance, Vulnerabilities, Dependencies. The full working is on the page: https://verifymcp.io/servers/stimqq-apimodels-mcp/apimodels-mcp#diagnostics

## Score history

- 2026-09-21: 64
- 2026-09-20: 64
- 2026-09-19: 64
- 2026-09-18: 49

## Common questions

### What is the apimodels MCP server?

apimodels is an MCP server listed in the public MCP registry as io.github.stimQQ/apimodels-mcp. Image, video, chat and speech models with one API key. The model can review its own images. This page covers its npm package (apimodels-mcp).

### Is the apimodels MCP server safe to use?

apimodels scores 64 out of 100 on VerifyMCP. We recorded 2 known advisories against it as of 21 September 2026. It declares no install or post-install scripts. 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 apimodels MCP server expose?

apimodels exposes 6 tools: list_models, chat, generate_image, review_image, generate_video, text_to_speech. Their descriptions and schemas cost roughly 1,325 tokens of context every time the server is loaded.

### Is the apimodels MCP server still maintained?

apimodels is still listed as active in the MCP registry. We last reached this channel on 21 September 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 apimodels MCP server under?

apimodels 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

- npm package: https://www.npmjs.com/package/apimodels-mcp
- Socket report: https://socket.dev/npm/package/apimodels-mcp
- Repository: https://github.com/stimQQ/apimodels-mcp
- Website: https://apimodels.app/
- Changelog RSS feed: https://verifymcp.io/servers/stimqq-apimodels-mcp/apimodels-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/stimqq-apimodels-mcp/apimodels-mcp.json
- HTML version of this page: https://verifymcp.io/servers/stimqq-apimodels-mcp/apimodels-mcp