F
licenseB
qualityD
maintenanceA production-ready MCP server that enables Claude and other LLMs to generate images and videos using Google's Gemini AI models (Gemini 2.0 Flash and Veo 2.0).
3
2
-
image-video-mcp
Related Servers
Alternatives to image-video-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceMCP server for generating and editing images using OpenAI, and creating videos using OpenAI Sora and Google Veo. Enables fetching media from URLs or disk with smart output placement.149 npm9MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that enables Claude Code to generate images using Google's Gemini image generation models.MIT
- AlicenseAqualityFmaintenanceAn MCP server that enables Claude Code to generate images and short videos using Google's Gemini API (Imagen 4 for stills, Veo 3.1 for video). It integrates directly into development workflows, allowing AI assistants to create visual assets and reference them in code without context switching.61MIT
- AlicenseAqualityCmaintenanceMCP server that exposes Google's Gemini 2.5 Flash Image (Nano Banana) to Claude, enabling image generation, editing, and composition through natural language.3766 npmMIT
- AlicenseAqualityCmaintenanceA local MCP server that enables Claude Code and Claude Desktop to generate and edit images via OpenAI's Images API, saving finished files into the project and returning previews for iterative refinement.3MIT
TDQS
A4.2/5.0
Scored across 3 tools
Disambiguation3/5
The two image generation tools (openai_generate_image and gemini_generate_image) overlap in purpose, both generating an image from a prompt. The provider prefixes help distinguish them, but an agent may still be uncertain which to choose without explicit context. The video tool is clearly distinct.
Naming Consistency5/5
All tool names follow the same [provider]_[verb]_[object] pattern with snake_case, making the set predictable and easy to navigate. The consistent use of 'generate' as the verb reinforces a clear convention.
Tool Count5/5
Three tools is well-scoped for a media generation server covering image and video output. Each tool serves a distinct provider or modality, and the count is within the ideal range for a focused MCP.
Completeness4/5
The toolset covers image generation via OpenAI and Gemini, and video generation via Gemini, satisfying the core 'image-video' purpose. Minor gaps exist, such as no OpenAI video generation or image editing capabilities, but these are not essential given the apparent scope.
Maintenance
ActivitySlowing
ResponsivenessNo issues