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chutes-media-mcp

by TheStreamCode

chutes-media-mcp

License: MIT Node >= 20.3 npm CI Sponsor

chutes-media-mcp

Generate image, video, music and speech through Chutes from inside any coding agent — Claude Code, Cursor, Cline, Windsurf, Codex, OpenCode, Claude Desktop — and have the generated asset saved straight into the project you're working on.

It ships as:

  • an MCP server (chutes-media-mcp, stdio) — the primary, universal interface,
  • a thin CLI (chutes-media) — a fallback for shells and agents without MCP support, and
  • an optional Agent Skill (skill/chutes-media) documenting the describe→generate workflow (auto-loaded by Claude Code; usable as reference by any agent).

Both frontends are thin adapters over one shared, transport-agnostic core, so they behave identically.

Not officially affiliated with or endorsed by Chutes. "Chutes" belongs to its respective owners; this is an independent, open-source community tool.


Features

  • 🎨 Four media kinds: image, video, music, speech — plus image editing (img2img / inpaint) when a model exposes an edit cord.
  • 🔎 describe → generate workflow: the live model schema is fetched and handed to the agent; payloads are never hardcoded.
  • 💾 Saves assets into your project (default ./assets/chutes/<kind>/) and returns the path.
  • Validates the payload against the live schema before spending a GPU call.
  • 🧾 Provenance + guardrails: writes a sidecar (model, params, schema hash) next to each asset, rejects unknown params, and verifies the returned media type matches what you asked for.
  • 🔁 Automatic cold-start retry with backoff for models scaled to zero.
  • 📡 Progress updates during long video/music jobs (MCP progress notifications / CLI stderr).
  • 🧩 Works everywhere: MCP server or CLI, same behavior.

How it works: describe → generate

Chutes models differ wildly (FLUX vs Qwen-Image vs Wan vs LTX vs ACE-Step vs a TTS model), so payloads are never hardcoded. The flow is always:

  1. list_media_models — discover a model for the kind you want.
  2. describe_media_model — fetch the model's live cords and input schema.
  3. generate_media — submit the payload you composed; the asset is saved into the workspace.

The server owns all the plumbing: auth, cold-start warmup + retry, blocking invocation with progress, downloading, saving, light validation, and best-effort cost reporting.


Requirements

  • Node.js ≥ 20.3 for the published MCP server and CLI
  • Use a supported LTS release (Node.js 22 or 24) for production. Node.js 20 compatibility is retained for the current major release, but Node.js 20 itself is end-of-life.
  • Contributors using the locked quality toolchain need Node.js ^20.19.0, ≥ 22.13.0, or ≥ 24
  • A Chutes API key (CHUTES_API_KEY). Create one in your Chutes account.

Install

An MCP server isn't "installed" like an app — it's registered as a command in your MCP client's config (see Use as an MCP server). Pick whichever way of providing that command suits you:

1. npx from npm — recommended (no install):

npx chutes-media-mcp        # MCP server (stdio)
npx -p chutes-media-mcp chutes-media --help   # CLI bin

2. Global install:

npm 

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