MCP Server
MCP
io.github.n24q02m/imagine-mcp
MCP server for image/video understanding & generation (Gemini/OpenAI/Grok)
Install
uvx imagine-mcp
Configuration Example
{
"remotes": [],
"packages": [
{
"registryType": "pypi",
"identifier": "imagine-mcp",
"version": "1.10.1",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Ordered model chain for the understand path 'provider/model,...' (order = litellm fallback; provider inferred from the prefix). Empty = understand off (provider/tier catalog default). Generation stays provider/tier native.",
"name": "UNDERSTAND_MODELS"
},
{
"description": "Google AI Studio API key (aistudio.google.com/apikey)",
"isSecret": true,
"name": "GEMINI_API_KEY"
},
{
"description": "OpenAI API key (platform.openai.com)",
"isSecret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "xAI (Grok) API key (console.x.ai)",
"isSecret": true,
"name": "XAI_API_KEY"
}
]
},
{
"registryType": "oci",
"identifier": "docker.io/n24q02m/imagine-mcp:latest",
"runtimeHint": "docker",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Ordered model chain for the understand path 'provider/model,...' (order = litellm fallback; provider inferred from the prefix). Empty = understand off (provider/tier catalog default). Generation stays provider/tier native.",
"name": "UNDERSTAND_MODELS"
},
{
"description": "Google AI Studio API key",
"isSecret": true,
"name": "GEMINI_API_KEY"
},
{
"description": "OpenAI API key",
"isSecret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "xAI (Grok) API key",
"isSecret": true,
"name": "XAI_API_KEY"
}
]
}
]
}
mcp
model-context-protocol
pypi
oci
By
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