LLM-operable Midjourney pipeline: 21 MCP tools to compose, generate, curate with vision, and log.
Connect Cascade to Claude, Cursor or any other MCP client and it stops being a tab you switch to. LLM-operable Midjourney pipeline: 21 MCP tools to compose, generate, curate with vision, and log. The cascade mcp server is what makes that connection.
Generate Midjourney images by conversation instead of by hand. You describe what you want; your AI assistant composes the prompt, fires it, inspects the grid with vision, crops the best quadrant, cleans it up, and logs what worked.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Category — ToolsOnboarding — cascade_guideGeneration — imagine, generate_video, wait, status, bridge_health, mj_actionCatch-up — channel_recent, adopt_messageComposition — compose_prompt, compose_videoCuration — crop_grid, alpha_key, auto_trim, palette_quantize, contact_sheet, sprite_sheet, score_grid, video_filmstrip, loop_seam_delta, promotecascade-img on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Cascade's toolset — Category, Onboarding, Generation and 3 more — is a fair guide to whether it matches your workflow. It is maintained by laffeyp; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Category | Tools |
| Onboarding | cascade_guide |
| Generation | imagine, generate_video, wait, status, bridge_health, mj_action |
| Catch-up | channel_recent, adopt_message |
| Composition | compose_prompt, compose_video |
| Curation | crop_grid, alpha_key, auto_trim, palette_quantize, contact_sheet, sprite_sheet, score_grid, video_filmstrip, loop_seam_delta, promote |
{
"mcpServers": {
"cascade-img": {
"command": "uvx",
"args": ["cascade-img"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.