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Mcp Image Gen

mcp-sarthakkimtani-mcp-image-gen · by sarthakkimtani

MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.

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Install

$ agentstack add mcp-sarthakkimtani-mcp-image-gen

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Image Generation MCP Server

A Model Context Protocol (MCP) server that enables seamless generation of high-quality images via Together AI. This server provides a standardized interface to specify image generation parameters.

Features

  • High-quality image generation powered by the Flux.1 Schnell model
  • Support for customizable dimensions (width and height)
  • Clear error handling for prompt validation and API issues
  • Easy integration with MCP-compatible clients

Installation

Claude Desktop
  • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration

{
  "mcpServers": {
    "image-gen": {
      "command": "uv",
      "args": ["--directory", "/ABSOLUTE/PATH/TO/image-gen/", "run", "image-gen"],
      "env": {
        "TOGETHER_AI_API_KEY": ""
      }
    }
  }
}

Available Tools

The server implements one tool:

generate_image

Generates an image based on the given textual prompt and optional dimensions.

Input Schema:

{
  "prompt": {
    "type": "string",
    "description": "A descriptive prompt for generating the image (e.g., 'a futuristic cityscape at sunset')"
  },
  "width": {
    "type": "integer",
    "description": "Width of the generated image in pixels (optional)"
  },
  "height": {
    "type": "integer",
    "description": "Height of the generated image in pixels (optional)"
  },
  "model": {
    "type": "string",
    "description": "The exact model name as it appears in Together AI. If incorrect, it will fallback to the default model (black-forest-labs/FLUX.1-schnell)."
  }
}

Prerequisites

  • Python 3.12 or higher
  • httpx
  • mcp

Contributing

Contributions are welcome! Please follow these steps to contribute:

  1. Fork the repository
  2. Create a new branch (feature/my-new-feature)
  3. Commit your changes
  4. Push the branch to your fork
  5. Open a Pull Request

For significant changes, please open an issue first to discuss your proposed changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.