MCP server intelligence profile

Gemini Gen MCP Server

MCP server for generating images and audio using Google's Gemini AI models

Local OnlyServiceStack
Awaiting current scanPypi · 0.0.4

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

1Distribution channel
2Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence

Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

Install gemini-gen-mcp from PyPI

Install exact version 0.0.4. The executable name has not been verified, so it is intentionally not guessed.

python -m pip install 'gemini-gen-mcp==0.0.4'

Identity

Canonical sluggemini-gen-mcp-c88f3a86DeploymentLocal Only
Canonical packagepypi:gemini-gen-mcpRepositoryServiceStack/gemini-gen-mcp
First publishedJan 19, 2026Latest releaseJan 19, 2026
Last security verificationClassification confidence90%
PublicationDraftOfficial distributionNot verified

Distributions

ChannelIdentifierCurrent versionVersionsSource
pypigemini-gen-mcp0.0.41Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
pypigemini-gen-mcp0.0.4CurrentJan 19, 20262 toolsSucceeded · 0 resources · 0 promptsEvidence restricted
Enterprise protection

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Current version evidence

No public current-version evidence is available yet.

Current protocol inventory

2025-06-18Negotiated protocol
gemini-gen-mcpServer-reported name
6Capability groups
Aug 24, 2026Observed

Tools 2

ToolCategoryAnnotationsRisk
text_to_imageGenerate images from text using Gemini's Flash (Nano Banana) Image models.
Input schema
{
  "additionalProperties": false,
  "properties": {
    "prompt": {
      "description": "Text description of the image to generate",
      "type": "string"
    },
    "model": {
      "description": "Supported Gemini image generation models.",
      "enum": [
        "gemini-2.5-flash-image",
        "gemini-3-pro-image-preview"
      ],
      "type": "string",
      "default": "gemini-2.5-flash-image"
    },
    "aspect_ratio": {
      "description": "Supported aspect ratios for image generation.",
      "enum": [
        "1:1",
        "2:3",
        "3:2",
        "3:4",
        "4:3",
        "4:5",
        "5:4",
        "9:16",
        "16:9",
        "21:9"
      ],
      "type": "string",
      "default": "1:1"
    },
    "temperature": {
      "default": 1,
      "description": "Sampling temperature for image generation (default: 1.0)",
      "type": "number"
    },
    "top_p": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Nucleus sampling parameter for image generation (optional)"
    }
  },
  "required": [
    "prompt"
  ],
  "type": "object"
}
text_to_speechGenerate speech audio from text using Gemini Flash TTS model.
Input schema
{
  "additionalProperties": false,
  "properties": {
    "text": {
      "description": "Text to convert to speech",
      "type": "string"
    },
    "model": {
      "description": "Supported Gemini image generation models.",
      "enum": [
        "gemini-2.5-flash-preview-tts",
        "gemini-2.5-pro-preview-tts"
      ],
      "type": "string",
      "default": "gemini-2.5-flash-preview-tts"
    },
    "voice": {
      "description": "TTS models voice names.",
      "enum": [
        "Zephyr",
        "Kore",
        "Orus",
        "Autonoe",
        "Umbriel",
        "Erinome",
        "Laomedeia",
        "Schedar",
        "Achird",
        "Sadachbia",
        "Puck",
        "Fenrir",
        "Aoede",
        "Enceladus",
        "Algieba",
        "Algenib",
        "Achernar",
        "Gacrux",
        "Zubenelgenubi",
        "Sadaltager",
        "Charon",
        "Leda",
        "Callirrhoe",
        "Iapetus",
        "Despina",
        "Rasalgethi",
        "Alnilam",
        "Pulcherrima",
        "Vindemiatrix",
        "Sulafat"
      ],
      "type": "string",
      "default": "Kore"
    }
  },
  "required": [
    "text"
  ],
  "type": "object"
}

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

Gemini Gen MCP Server questions

How do I install Gemini Gen MCP Server?

Install the selected package version with: python -m pip install 'gemini-gen-mcp==0.0.4'

What tools does Gemini Gen MCP Server provide?

Gemini Gen MCP Server exposed 2 tools during independent protocol observation, including text_to_image, text_to_speech.

Is Gemini Gen MCP Server secure?

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

Company and product intelligence

These internal links are derived from strong identity fields such as the implementation name, package, repository, vendor, and listing name—not generic description prose.

Associated company landscape

Google intelligence →

Association is based on retained identity fields; it does not by itself prove first-party publication.

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