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Gliana-Labs/gliana-mcp

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[](https://glama.ai/mcp/servers/Gliana-Labs/gliana-mcp) πŸ“‡ ☁️ 🏠 🍎 πŸͺŸ 🐧 - Pay-per-call access to 90+ AI models (LLM chat, image, video, music, speech) plus utility and data tools

MCP

Gliana-Labs/gliana-mcp

Added 3 Sept 2026

#ai #image-generation #mcp #model-context-protocol #pay-per-call #video-generation #x402

Overview

MCP server that provides pay-per-call access to over 90 AI models across LLM, image, video, music, and speech, plus utility and data tools. It is written in JavaScript and acts as a Model Context Protocol endpoint, letting clients route model requests through a single integration.

Best for

Best for
Developers who want to test multiple AI models from a single MCP endpoint with pay-as-you-go billing.

Use cases

  • Route chat and image generation requests from an MCP client
  • Add video or music generation to a workflow on demand
  • Incorporate utility and data tools without separate API keys

Notes

MCP server that provides pay-per-call access to over 90 AI models across LLM, image, video, music, and speech, plus utility and data tools. It is written in JavaScript and acts as a Model Context Protocol endpoint, letting clients route model requests through a single integration.

0 stars on GitHub. Last updated 2026-08-23.

Use cases

  • Route chat and image generation requests from an MCP client
  • Add video or music generation to a workflow on demand
  • Incorporate utility and data tools without separate API keys

Pros

  • Covers five content types from one gateway
  • Pay-per-call model avoids fixed subscriptions
  • Wide model selection allows switching providers easily

Cons

  • Zero stars on GitHub, signaling low adoption or early stage
  • Every call has a cost, so usage needs monitoring
  • Unclear live support and maintenance commitment

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

Pros

  • Covers five content types from one gateway
  • Pay-per-call model avoids fixed subscriptions
  • Wide model selection allows switching providers easily

Cons

  • Zero stars on GitHub, signaling low adoption or early stage
  • Every call has a cost, so usage needs monitoring
  • Unclear live support and maintenance commitment
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