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gpu-bridge/mcp-server

GPU-Bridge MCP Server — 30 AI services as Model Context Protocol tools. LLMs, image gen, video, audio, embeddings, reranking, PDF parsing & more. x402 native for autonomous agents.

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Our verdict

Not reviewed yet

We have not reviewed gpu-bridge/mcp-server yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About gpu-bridge/mcp-server

GPU-Bridge MCP Server exposes 30 AI services as Model Context Protocol tools, including LLMs, image generation, video, audio, embeddings, reranking, and PDF parsing. It uses the x402 protocol for native autonomous agent integration. The server is written in JavaScript and is available on GitHub.

Best for

Developers building autonomous agents that need to orchestrate multiple AI services via the Model Context Protocol

Use cases

  • Connect an MCP-compatible agent to multiple AI services through a single server
  • Automate multimodal workflows combining text, image, and audio generation
  • Integrate PDF parsing and reranking into agent pipelines

Notes

0 stars on GitHub. Last updated 2026-03-17. Licensed MIT.

Pros

  • Broad coverage of AI service types from a single MCP server
  • x402 native support enables direct agent-to-service communication
  • Open source with no vendor lock-in

Cons

  • No GitHub stars yet, indicating limited community adoption or testing
  • Requires MCP-compatible client or agent to use
  • Dependency on external AI service APIs may introduce latency or cost

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Tools exposed

  • llm-4090
  • llm-a100
  • llm-l4
  • code-4090
  • llm-stream
  • flux-schnell
  • flux-dev
  • sdxl-4090
  • sd35-l4
  • img2img-4090
  • llava-4090
  • ocr-l4
  • rembg-l4
  • caption-4090
  • nsfw-detect
  • whisper-l4
  • whisper-a100
  • diarize-l4
  • tts-l4
  • tts-fast

Clients the listing names (not checked here)

Claude Desktop

Example client config

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

Install

Add gpu-bridge/mcp-server to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (runs on your computer)

claude mcp add --transport stdio gpu-bridge-mcp-server -- npx -y @gpu-bridge/mcp-server@2.4.3

Version 2.4.3 · From the Official MCP registry, read · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "gpu-bridge-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@gpu-bridge/mcp-server@2.4.3"
      ]
    }
  }
}

Version 2.4.3 · From the Official MCP registry, read · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (runs on your computer)

{
  "mcpServers": {
    "gpu-bridge-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@gpu-bridge/mcp-server@2.4.3"
      ]
    }
  }
}

Version 2.4.3 · From the Official MCP registry, read · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (runs on your computer)

{
  "servers": {
    "gpu-bridge-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@gpu-bridge/mcp-server@2.4.3"
      ]
    }
  }
}

Version 2.4.3 · From the Official MCP registry, read · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (runs on your computer)

[mcp_servers.gpu-bridge-mcp-server]
command = "npx"
args = ["-y", "@gpu-bridge/mcp-server@2.4.3"]

Version 2.4.3 · From the Official MCP registry, read · Format checked against Codex's config docs

  • ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What gpu-bridge/mcp-server connects to

5 clients, each with how we know and when we checked.

Works withTypeHow we knowChecked
Claude CodeClientInstall recipe matches the client's documented formatRuns locally, version 2.4.3Config checkedClaude Code docs
Claude DesktopClientInstall recipe matches the client's documented formatRuns locally, version 2.4.3Config checkedClaude Desktop docs
CursorClientInstall recipe matches the client's documented formatRuns locally, version 2.4.3Config checkedCursor docs
VS CodeClientInstall recipe matches the client's documented formatRuns locally, version 2.4.3Config checkedVS Code docs
CodexClientInstall recipe matches the client's documented formatRuns locally, version 2.4.3Config checkedCodex docs

Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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