# io.github.fjnunezp75/gpu-bridge (npm · @gpu-bridge/mcp-server)

30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.

- Trust score: 68/100 (medium)
- Change this week: +44
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@gpu-bridge/mcp-server`: 68/100 (this document), [markdown](https://verifymcp.io/servers/fjnunezp75-gpu-bridge/gpu-bridge-mcp-server.md), [page](https://verifymcp.io/servers/fjnunezp75-gpu-bridge/gpu-bridge-mcp-server)

## Channel facts

- Registry: `npm`
- Package: `@gpu-bridge/mcp-server`
- Version: `2.4.3`
- 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 2026-08-03.

- **Supply Chain Security**: 86/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
- **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 138 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 574 tokens (~114/item across 5 items; 5 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **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.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add fjnunezp75-gpu-bridge -- npx -y @gpu-bridge/mcp-server
```

### Codex

```bash
codex mcp add fjnunezp75-gpu-bridge -- npx -y @gpu-bridge/mcp-server
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fjnunezp75-gpu-bridge": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@gpu-bridge/mcp-server"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add fjnunezp75-gpu-bridge --command npx --arg -y --arg @gpu-bridge/mcp-server
```

### Hermes

```yaml
mcp_servers:
  fjnunezp75-gpu-bridge:
    command: "npx"
    args: ["-y", "@gpu-bridge/mcp-server"]
```

### Other

```json
{
  "mcpServers": {
    "fjnunezp75-gpu-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "@gpu-bridge/mcp-server"
      ]
    }
  }
}
```

## 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.

### 2026-08-03 (score 68, +4)

- [functional improvement] Stability: unverified → 0.27

### 2026-08-02 (score 64, +28)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional] Licence: MIT

### 2026-08-01 (score 36, +8)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-31 (score 28, −18)

- [security regression] Malware scan: pass → unverified

### 2026-07-28 (score 46, +22)

- [functional improvement] Tool coverage: unverified → 100
- [functional] First check of Schema quality: fail
- [functional] First check of Schema quality: unverified
- [functional] First check of Tool coverage: 100
- [functional] First check of Schema quality: pass

### 2026-07-27 (score 24)

First indexed and scored.

## MCP tools (5)

### `gpu_run` (~425 tokens)

Run any GPU-Bridge AI service. 30 services available: LLM inference (sub-second), image generation (FLUX, SD3.5), video generation, video enhancement (up to 4K), speech-to-text (Whisper, <1s), TTS (40+ voices), music generation, voice cloning, embeddings, document reranking (Jina), OCR, PDF/document parsing, NSFW detection, image captioning, visual Q&A, background removal, face restoration, upscaling, stickers, and more. Use gpu_catalog to see all available services.

Input parameters:

- `input` (object, required): Service-specific input. Examples: LLM {"prompt":"...","max_tokens":512,"model":"llama-3.3-70b-versatile"}, Image {"prompt":"..."}, Whisper {"audio_url":"https://..."}, TTS {"text":"...","voice":"af_a…
- `priority` (string): Routing priority. "fast" = lowest latency (default), "cheap" = lowest cost.
- `service` (string, required): Service key. Common ones: llm-4090 (text), image-4090 (image), video (video), whisper-l4 (speech-to-text), tts-l4 (text-to-speech), embedding-l4 (embeddings), rembg-l4 (bg removal), upscale-l4 (upsca…

### `gpu_catalog` (~25 tokens)

List all available GPU-Bridge services with pricing and model info. No authentication required.

### `gpu_status` (~36 tokens)

Check the status of a GPU-Bridge job and retrieve results.

Input parameters:

- `job_id` (string, required): The job ID returned by gpu_run

### `gpu_balance` (~26 tokens)

Check GPU-Bridge credit balance, daily spend, volume discount tier, and job history.

### `gpu_estimate` (~62 tokens)

Estimate the cost of a GPU-Bridge service before running it. No authentication required.

Input parameters:

- `seconds` (number): Estimated runtime in seconds (optional)
- `service` (string, required): Service key (e.g. llm-4090, image-4090)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/fjnunezp75-gpu-bridge/gpu-bridge-mcp-server#diagnostics

## Score history

- 2026-08-03: 68
- 2026-08-02: 64
- 2026-08-01: 36
- 2026-07-31: 28
- 2026-07-30: 46
- 2026-07-28: 46
- 2026-07-27: 24

## Links

- npm package: https://www.npmjs.com/package/@gpu-bridge/mcp-server
- Socket report: https://socket.dev/npm/package/@gpu-bridge/mcp-server
- Repository: https://github.com/gpu-bridge/mcp-server
- Changelog RSS feed: https://verifymcp.io/servers/fjnunezp75-gpu-bridge/gpu-bridge-mcp-server/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/fjnunezp75-gpu-bridge/gpu-bridge-mcp-server/changelog.json
- HTML version of this page: https://verifymcp.io/servers/fjnunezp75-gpu-bridge/gpu-bridge-mcp-server