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yuvalsuede/agent-media

by Various

๐Ÿ“‡ โ˜๏ธ ๐ŸŽ ๐ŸชŸ ๐Ÿง - CLI and MCP server for AI video and image generation with unified access to 7 models (Kling, Veo, Sora, Seedance, Flux, Grok Imagine). Provides 9 tools for generat

Y

MCP

yuvalsuede/agent-media

Added 1 June 2026

Overview

A command-line interface and Model Context Protocol server that unifies access to seven AI video and image generation models: Kling, Veo, Sora, Seedance, Flux, and Grok Imagine. It exposes nine tools for generating and manipulating media through a single interface.

Best for

Best for
Developers building AI agent workflows that need multi-model media generation

Use cases

  • Generate videos or images from text prompts using multiple model backends
  • Integrate media generation into AI agent workflows via the MCP server
  • Compare outputs from different models for prototyping or testing

Notes

A command-line interface and Model Context Protocol server that unifies access to seven AI video and image generation models: Kling, Veo, Sora, Seedance, Flux, and Grok Imagine. It exposes nine tools for generating and manipulating media through a single interface.

Use cases

  • Generate videos or images from text prompts using multiple model backends
  • Integrate media generation into AI agent workflows via the MCP server
  • Compare outputs from different models for prototyping or testing

Pros

  • Unified CLI and MCP interface reduces integration overhead
  • Supports a broad selection of leading video and image models
  • Open source with extensible design

Cons

  • Requires separate API keys and service subscriptions for each model
  • Output quality and reliability depend on external provider availability
  • CLI-only interface may have a learning curve for non-developers

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

Pros

  • Unified CLI and MCP interface reduces integration overhead
  • Supports a broad selection of leading video and image models
  • Open source with extensible design

Cons

  • Requires separate API keys and service subscriptions for each model
  • Output quality and reliability depend on external provider availability
  • CLI-only interface may have a learning curve for non-developers