Is io.github.mimo-3/mcp-imagenate safe to use?

io.github.mimo-3/mcp-imagenate has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.mimo-3/mcp-imagenate?

io.github.mimo-3/mcp-imagenate supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.mimo-3/mcp-imagenate?

io.github.mimo-3/mcp-imagenate is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is io.github.mimo-3/mcp-imagenate actively maintained?

io.github.mimo-3/mcp-imagenate is actively maintained - last commit was 8 days ago. It has 17 GitHub stars.

io.github.mimo-3/mcp-imagenate

mcp-imagenate

MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX)

17 868/wk GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 8d ago

Works with most clients

Transport: stdio, http

0 tools

Grade F

MCPpedia last refreshed this data 2d ago

Edit this pageView history

io.github.mimo-3/mcp-imagenate is an MCP server that MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX). Its tool list has not been published yet over stdio and http, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML Design

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-imagenate": {
      "env": {
        "GEMINI_API_KEY": "your_key_here",
        "NANO_BANANA_OUTPUT_DIR": "/path/to/image/output"
      },
      "args": [
        "mcp-imagenate"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-mimo-3-mcp-imagenate)](https://mcppedia.org/s/io-github-mimo-3-mcp-imagenate)

Read me

What io.github.mimo-3/mcp-imagenate does

MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX)

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.

npx -y 'mcp-imagenate' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

62/100across 5 weighted dimensions

How we score →

0255075100

−38

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mcp-imagenate against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience - it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.mimo-3/mcp-imagenate safe to use?: io.github.mimo-3/mcp-imagenate has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.mimo-3/mcp-imagenate?: io.github.mimo-3/mcp-imagenate supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.mimo-3/mcp-imagenate?: io.github.mimo-3/mcp-imagenate is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.mimo-3/mcp-imagenate actively maintained?: io.github.mimo-3/mcp-imagenate is actively maintained - last commit was 8 days ago. It has 17 GitHub stars.

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Edit this pageView history

AI / ML Design

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-imagenate": {
      "env": {
        "GEMINI_API_KEY": "your_key_here",
        "NANO_BANANA_OUTPUT_DIR": "/path/to/image/output"
      },
      "args": [
        "mcp-imagenate"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-mimo-3-mcp-imagenate)](https://mcppedia.org/s/io-github-mimo-3-mcp-imagenate)

Read me

What io.github.mimo-3/mcp-imagenate does

MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX)

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.

npx -y 'mcp-imagenate' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

mcp-imagenate

An MCP server for image generation using multiple providers: Google Gemini, OpenAI (gpt-image), BFL FLUX, and Reve — plus short video clips through Google Gemini Omni.

Providers & Models

Google Gemini (Nano Banana)

Name	Model ID	Best for
`nano-banana-2`	`gemini-3.1-flash-image-preview`	Fast, high-volume generation
`nano-banana-2.1`	`gemini-nano-banana-2.1`	Successor to Nano Banana 2 (1K/2K/4K only)
`nano-banana-pro`	`gemini-3-pro-image-preview`	Highest quality output

Google Gemini Omni (video)

Name	Model ID	Best for
`gemini-omni-1.2-flash`	`gemini-omni-1.2-flash`	The default here; 3–15 s clips with audio, about $0.07/s at 720p (30% less than 1.1)
`gemini-omni-1.1-flash`	`gemini-omni-1.1-flash`	Previous generation; 3–10 s clips with audio, legible on-screen text

Uses the same GEMINI_API_KEY. Exposed through a separate generate_video tool — see Tool: generate_video.

OpenAI

Name	Model ID	Best for
`gpt-image-2.6-flare`	`gpt-image-2.6-flare`	Fast generation. The default here
`gpt-image-2.6-sunburst`	`gpt-image-2.6-sunburst`	Fine detail and precise edits
`gpt-image-2.5-flare`	`gpt-image-2.5-flare`	Previous generation, fast generation
`gpt-image-2.5-sunburst`	`gpt-image-2.5-sunburst`	Previous generation, precise edits
`gpt-image-2`	`gpt-image-2`	Previous generation

At low and medium quality, 2.6 uses about 3–4 times the image output tokens and costs about 3–4 times as much as 2.5; at high quality, costs are similar.

These are the only models here that can return a transparent background — see Transparent backgrounds.

BFL FLUX

Name	Model ID	Best for
`flux-2-klein`	`klein-4b`	Fast, lightweight generation
`flux-2-pro`	`pro-preview`	Balanced quality and speed
`flux-2-max`	`max`	Maximum quality

Reve

Name	Version	Best for
`reve-image`	`latest`	Typography and layout fidelity

This provider calls Reve's v2/image/create endpoint. latest is the only version alias v2 exposes, and it is what the response reports back, so there is no dated build to pin to. Do not confuse it with the v1 endpoints, which still serve the older reve-create@20250915 model.

Things worth knowing before sending Reve a prompt written for another provider:

resolution is ignored — Reve has no size parameter and returns its own large output. Exact dimensions vary between requests: 16:9 came back as both 5408x3072 and 5376x3072, and 3:4 as 3456x4800.
Prompts are capped at 4,000 characters, and this provider rejects longer ones before spending a request.
inputImages become v2 references. Reve accepts at most eight; a longer list is rejected before any of the files are read.

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

62/100across 5 weighted dimensions

How we score →

0255075100

−38

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mcp-imagenate against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience - it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.mimo-3/mcp-imagenate safe to use?: io.github.mimo-3/mcp-imagenate has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.mimo-3/mcp-imagenate?: io.github.mimo-3/mcp-imagenate supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.mimo-3/mcp-imagenate?: io.github.mimo-3/mcp-imagenate is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.mimo-3/mcp-imagenate actively maintained?: io.github.mimo-3/mcp-imagenate is actively maintained - last commit was 8 days ago. It has 17 GitHub stars.

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MCP Security Weekly

Get CVE alerts and security updates for io.github.mimo-3/mcp-imagenate and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?