yuvalsuede/agent-media
by Various
๐ โ๏ธ ๐ ๐ช ๐ง - 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
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
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