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Image generation with Google Gemini 3.1 Flash: 512px-4K, reference images, search grounding
Ultimate Gemini MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Ultimate Gemini MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx ultimate-gemini-mcp==6.0.21Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-23T10:12:23.592925Z",
"publishedAt": "2026-09-23T10:12:23.592925Z",
"statusChangedAt": "2026-09-23T10:12:23.592925Z"
}
},
"server": {
"name": "io.github.nikships/ultimate-image-gen-mcp",
"title": "Ultimate Gemini MCP",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "6.0.21",
"packages": [
{
"version": "6.0.21",
"transport": {
"type": "stdio"
},
"identifier": "ultimate-gemini-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "GEMINI_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Google Gemini API key (free tier at https://aistudio.google.com/apikey). Also accepts GOOGLE_API_KEY."
},
{
"name": "OUTPUT_DIR",
"format": "filepath",
"default": "~/gemini_images",
"description": "Directory where generated images are saved"
},
{
"name": "DEFAULT_IMAGE_SIZE",
"format": "string",
"choices": [
"512px",
"1K",
"2K",
"4K"
],
"default": "2K",
"description": "Default resolution for generated images"
},
{
"name": "DEFAULT_MODEL",
"format": "string",
"default": "gemini-3.1-flash-image-preview",
"description": "Default Gemini image model"
},
{
"name": "ENABLE_PROMPT_ENHANCEMENT",
"format": "boolean",
"default": "false",
"description": "Automatically enhance prompts with Gemini Flash before generation"
},
{
"name": "ENABLE_GOOGLE_SEARCH",
"format": "boolean",
"default": "false",
"description": "Enable Google Search grounding by default (real-time data like weather, events)"
},
{
"name": "REQUEST_TIMEOUT",
"format": "number",
"default": "60",
"description": "API request timeout in seconds"
},
{
"name": "MAX_BATCH_SIZE",
"format": "number",
"default": "8",
"description": "Max parallel requests in batch mode"
},
{
"name": "LOG_LEVEL",
"format": "string",
"choices": [
"DEBUG",
"INFO",
"WARNING",
"ERROR"
],
"default": "INFO",
"description": "Logging level"
}
]
}
],
"repository": {
"id": "1083341252",
"url": "https://github.com/nikships/ultimate-image-gen-mcp",
"source": "github"
},
"websiteUrl": "https://github.com/nikships/ultimate-image-gen-mcp",
"description": "Image generation with Google Gemini 3.1 Flash: 512px-4K, reference images, search grounding"
}
}