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hedging8563/tokenlab-mcp-server

by Various

OpenAPI-generated MCP server for TokenLab text, image, video, music, 3D, audio, files, embeddings, rerank, translation, and async tasks.

H

MCP

hedging8563/tokenlab-mcp-server

Added 13 July 2026

#ai-api #anthropic-messages #embeddings #gemini #image-generation #llm-gateway #mcp #model-context-protocol

Overview

An MCP server generated from OpenAPI that exposes TokenLab's API for text, image, video, music, 3D, audio, files, embeddings, rerank, translation, and async tasks. It lets MCP-compatible agents call these multimodal endpoints through the standardized Model Context Protocol.

Best for

Best for
Developers who want to quickly connect TokenLab's multimodal API to MCP-based agents.

Use cases

  • Building an agent that generates images and music from prompts
  • Integrating vector embeddings and rerank into a retrieval pipeline
  • Adding on-demand translation or async task processing to agent workflows

Notes

An MCP server generated from OpenAPI that exposes TokenLab’s API for text, image, video, music, 3D, audio, files, embeddings, rerank, translation, and async tasks. It lets MCP-compatible agents call these multimodal endpoints through the standardized Model Context Protocol.

0 stars on GitHub. Last updated 2026-07-12. Licensed MIT.

Use cases

  • Building an agent that generates images and music from prompts
  • Integrating vector embeddings and rerank into a retrieval pipeline
  • Adding on-demand translation or async task processing to agent workflows

Pros

  • Open-source and built from the official OpenAPI spec
  • Supports a wide range of modalities and tasks
  • Works natively with the MCP protocol for easy agent integration

Cons

  • Zero stars on GitHub indicating a very new or unproven project
  • Relies entirely on the TokenLab API which may have its own limits and costs
  • No evidence of community support or active maintenance

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

Pros

  • Open-source and built from the official OpenAPI spec
  • Supports a wide range of modalities and tasks
  • Works natively with the MCP protocol for easy agent integration

Cons

  • Zero stars on GitHub indicating a very new or unproven project
  • Relies entirely on the TokenLab API which may have its own limits and costs
  • No evidence of community support or active maintenance
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