MCP.Market

Gpu Bridge MCP server

by fjnunezp75·io.github.fjnunezp75/gpu-bridge·v2.4.3·2 stars
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30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.

C60/100grade C
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Safety scan
C60/100

full report

Adoption
New

2 stars52 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Gpu Bridge tools (5, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • gpu_balance

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

  • gpu_catalog

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

  • gpu_estimate

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

  • gpu_runwrite action

    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, upscal

  • gpu_status

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

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 195 days ago4/15
  • Maintainer identitynamespace and repository owner differ4/10
Overall 60/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Gpu Bridge compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
60/100
higher than 17% of 4,460 AI and agents servers
Tools
5
the typical AI and agents server has 6
Tools that change things
20%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 65% of 2,711 AI and agents servers
Downloads a week
52
more than 43% of 1,538 AI and agents servers with a package

What its tools let an agent do: 4 read · 1 change

Install Gpu Bridge in Claude Code, Cursor or VS Code

Runs npx -y @gpu-bridge/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add gpu-bridge -- npx -y @gpu-bridge/mcp-server
Add to Cursor

What the publisher says

From the Gpu Bridge repository's README, as published. We do not edit it. Read it on GitHub

GPU-Bridge MCP Server

30 GPU-powered AI services as MCP tools — LLMs, image generation, audio, video, embeddings, reranking, PDF parsing, NSFW detection & more.

x402 native for autonomous AI agents: pay per request on-chain with USDC on Base L2. No API keys. No accounts.

What is GPU-Bridge?

GPU-Bridge is a unified GPU inference API with native x402 support — the open payment protocol that allows AI agents to autonomously pay for compute with USDC on Base L2. No API keys, no accounts, no human intervention required.

This MCP server exposes all 30 GPU-Bridge services as Model Context Protocol tools, giving Claude (and any MCP-compatible AI) direct access to GPU inference.

Install in Claude Desktop (2 minutes)

1. Get your API key (or use x402 for autonomous agents)

Visit gpubridge.io and grab a free API key, or use the x402 protocol for keyless agent payments.

2. Add to claudedesktopconfig.json

macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%\Claude\claudedesktopconfig.json

{
  "mcpServers": {
    "gpu-bridge": {
      "command": "npx",
      "args": ["-y", "@gpu-bridge/mcp-server"],
      "env": {
        "GPUBRIDGE_API_KEY": "your_api_key_here"
      }
    }
  }
}

3. Restart Claude Desktop

That's it. Claude now has access to 30 GPU-powered AI services.

MCP Tools

gpu_run

Run any GPU-Bridge service. The primary tool for executing AI tasks.

Parameters:
  service  (string)  — Service key (e.g., "llm-4090", "flux-schnell", "whisper-l4")
  input    (object)  — Service-specific input parameters
  priority (string)  — Optional: "fast" (lowest latency) or "cheap" (lowest cost)

gpu_catalog

Get the full catalog of available services with pricing and capabilities.

gpu_estimate

Estimate cost before running a service. No authentication required.

gpu_status

Check the status of a job and retrieve results.

gpu_balance

Check your current balance, daily spend, and volume discount tier.

30 Available Services

Language Models (LLMs)

Image Generation

Vision & Image Analysis

Speech-to-Text

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Gpu Bridge: common questions

Is Gpu Bridge MCP server safe?
With care: it is graded C, so read the findings first (60/100). Read the Gpu Bridge safety report
How do I install Gpu Bridge?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Gpu Bridge need an API key?
Yes. The registry entry asks for GPUBRIDGE_API_KEY.
Is Gpu Bridge maintained?
The last commit was 232 days ago (2026-03-17). The latest release is v2.4.3.
What can I use instead of Gpu Bridge?
Servers from other publishers that do the same job: WaveSpeed MCP server, Guaardvark MCP server and Runapi MCP server.
How does Gpu Bridge compare with other AI and agents MCP servers?
safety score 60/100 (higher than 17% of 4,460 AI and agents servers); tools 5 (the typical AI and agents server has 6); tools that change things 20% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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