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cascade-img MCP Server

local only

cascade-img runs on your own machine — the client starts it, so there is no endpoint to ping. 58 installs a week from pypi. Last commit 18 Jul 2026.

LLM-operable Midjourney pipeline: 21 MCP tools to compose, generate, curate with vision, and log.

Installs per day peak 32 · avg 13 · -36% w/w
a month agotoday
58
Installs / week
pypi · cascade-img
2
Stars
0 open issues
18 Jul 2026
Last commit
0 releases in 90 days
Apache-2.0
License
Python

What the code does

We read the source, 2 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.

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 cascade-img -- uvx cascade-img
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "cascade-img": {
      "args": [
        "cascade-img"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.cascade-img]
command = "uvx"
args = ["cascade-img"]
.cursor/mcp.json
{
  "mcpServers": {
    "cascade-img": {
      "args": [
        "cascade-img"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "cascade-img": {
      "args": [
        "cascade-img"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: DISCORD_USER_TOKEN (Discord user-account token the bridge daemon uses to talk to Midjourney (captured from the Discord desktop app; see RUNBOOK.md).), MJ_CHANNEL_ID (Discord channel ID where the Midjourney bot runs.), MJ_IMAGINE_VERSION (Version token for Midjourney's /imagine slash command, captured from Discord.), CASCADE_BRIDGE_URL (URL of the running cascade-mj-bridge daemon that cascade-mcp forwards to.). The author declared them in the registry entry; get the values from the project itself.

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cascade-img — questions

Answers built from our own checks of this server.

Why is there no uptime for cascade-img?
cascade-img 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 cascade-img was installed 58 times last week.
How do I connect cascade-img?
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 cascade-img straight from pypi; nothing to host, nothing to sign up for.
How many people use cascade-img?
The pypi package cascade-img was installed 58 times in the last week. Week over week that is -36%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is cascade-img open source?
Yes — it is published under the Apache-2.0 licence, written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.