gpu-bridge/mcp-server

Overview

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

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

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.