Chutes Media MCP

Name: Chutes Media MCP
Author: TheStreamCode

by TheStreamCodeversion 2.1.0i★ –iRuns on your computer

Registry nameio.github.TheStreamCode/chutes-media-mcp

Install

Overview

Description from the maker (original English)

Generate image, video, music and speech through Chutes and save assets into your project.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: CHUTES_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CHUTES_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "chutes-media": {
      "command": "npx",
      "args": [
        "-y",
        "chutes-media-mcp"
      ],
      "env": {
        "CHUTES_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add chutes-media --env CHUTES_API_KEY=your-value -- npx -y chutes-media-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "chutes-media": {
      "command": "npx",
      "args": [
        "-y",
        "chutes-media-mcp"
      ],
      "env": {
        "CHUTES_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "chutes-media": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "chutes-media-mcp"
      ],
      "env": {
        "CHUTES_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

CHUTES_API_KEY secret required env
Chutes API key used for authenticated model discovery and generation.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account TheStreamCode, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2189 servers in this category
Published to the registry more recently than 82% of the other 2189 servers in this category
Basic checks equal to or better than 100% of the other 2189 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Chutes Media MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: CHUTES_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.1.0) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Chutes Media MCP

Generate image, video, music, and speech through Chutes from any coding agent, with the asset saved straight into the project you are working on.

Chutes Media MCP is a Model Context Protocol (MCP) server and command-line interface (CLI) that give coding agents access to Chutes media models. It ships as an MCP server on standard input/output (stdio), a thin CLI for agents without MCP support, and a bundled Agent Skill for the describe-then-generate workflow.

Instead of hardcoding a payload per model, the server fetches the model's live schema and validates each request before spending a GPU call, then writes the asset and a provenance record into your workspace. It works with Claude Code, Cursor, Cline, Windsurf, Codex, OpenCode, and Claude Desktop.

This is an independent community project. It is not affiliated with, sponsored by, or endorsed by Chutes.

Install

Run the server from npm without installing it globally:

npx -y chutes-media-mcp

Install it globally to put both binaries on your path:

npm install -g chutes-media-mcp

claude mcp add chutes-media --env CHUTES_API_KEY=cpk_your_key -- npx -y chutes-media-mcp

For Cursor, Cline, Windsurf, OpenCode, and Claude Desktop, add the mcpServers entry documented in docs/mcp-and-cli.md. Running from GitHub instead of npm is supported with npx -y github:TheStreamCode/chutes-media-mcp. Upgrading from 1.x? See docs/migration-2.0.md.

Quick start

Create a Chutes API key at chutes.ai and register the server as shown under Install.
Ask your agent for an asset: "Generate a cinematic hero image of a misty mountain range and save it in this project."
The agent discovers a suitable model, reads its live schema, validates the payload, and saves the result under assets/chutes/image/. The returned path is ready to reference from your code.

The same describe-then-generate flow is available from a shell through the chutes-media CLI. See docs/mcp-and-cli.md for the tool reference, CLI examples, and image editing.

Features

Four media kinds (image, video, music, speech), plus image editing when a model exposes an edit cord such as img2img or inpaint.
Live model contract: cords and input schema are fetched at runtime, never hardcoded.
Payload validation against the live schema before any GPU call is made.
Workspace-contained file access; existing assets survive unless overwrite is explicitly set.
A provenance sidecar per asset with model, cord, params, and schema hash.
Automatic cold-start retry with backoff for models that scale to zero.
Progress updates for long video and music jobs.
One shared core, so the MCP server and the CLI behave identically.

Requirements

Node.js 20.3 or newer for the published server and CLI. Node.js 20 is end-of-life; use Node.js 22 or 24 LTS in production.
A Chutes API key.
Contributors using the locked toolchain need Node.js ^20.19.0, >= 22.13.0, or >= 24.

Configuration

Variable	Required	Default	Purpose
`CHUTES_API_KEY`	Yes	none	Chutes API key. Read from the environment; never written to disk.
`CHUTES_AUTH_SCHEME`	No	`raw`	How the key is sent in `Authorization`: `raw` (the key as-is) or `bearer` (value prefixed with `Bearer` and a space). On a 401, try the other value.
`CHUTES_API_BASE_URL`	No	`https://api.chutes.ai`	Management API base URL. HTTPS is required except for loopback development; custom endpoints never receive the Chutes API key.
`CHUTES_OUTPUT_DIR`	No	`assets/chutes`	Output directory inside the agent's working directory. A `/` subfolder is appended.
`CHUTES_WARMUP`	No	`true`	Warm models up before invoking them. Set to `false` to skip warmup.
`CHUTES_COLD_START_RETRIES`	No	`4`	Retries when a cold model returns `503 no-instances`. `0` disables retries.
`CHUTES_COLD_START_BACKOFF_MS`	No	`8000`	Base backoff between cold-start retries; it grows per attempt.
`CHUTES_MAX_ASSET_MB`	No	`512`	Maximum response or local input asset size kept in memory. The maximum is `4096`.
`CHUTES_PROGRESS_INTERVAL_MS`	No	`5000`	How often progress heartbeats are emitted while a call blocks.
`CHUTES_ALLOW_UNKNOWN_PARAMS`	No	`false`	When `true`, accept parameters that are not in the model schema. The default rejects them so a renamed field fails loudly.
`CHUTES_PROVENANCE`	No	`true`	Write a `.json` sidecar with model, cord, params, and schema hash. Set to `false` to disable.

Generated assets are saved under ./assets/chutes/ /, relative to wherever the agent runs, so they land inside the project. Output traversal and symlink escapes are rejected, and existing files are preserved unless overwrite is enabled.

Privacy and security

The API key is read from CHUTES_API_KEY and kept in memory. Credential-bearing requests go only to HTTPS Chutes hosts, remote asset URLs are screened against private-network destinations, and file access is contained to the workspace. Query strings and fragments are removed from network-error messages so signed asset URLs do not end up in logs. The project collects no telemetry. See SECURITY.md for reporting.

Troubleshooting

A Chutes request returns 401

The key is missing, invalid, or sent with the wrong authentication scheme. Confirm CHUTES_API_KEY is set for the process that launches the server, then set CHUTES_AUTH_SCHEME to bearer or raw, whichever differs from the current value.

A model returns 503 no-instances

The model is scaled to zero and Chutes has no instance ready. The server retries automatically; raise CHUTES_COLD_START_RETRIES and CHUTES_COLD_START_BACKOFF_MS if the delay is too short, or pick another model of the same kind.

Generation fails with an unknown or rejected parameter

The live model schema changed or the parameter name is wrong. Call describe_media_model again and rebuild the payload from the current schema. CHUTES_ALLOW_UNKNOWN_PARAMS=true is a temporary workaround, not a fix.

An asset write is rejected

Every input and output path must resolve inside the current workspace, and an existing file is not replaced implicitly. Pass the explicit overwrite option (or --overwrite in the CLI) after checking the target path.

Development

Requirements: Node.js ^20.19.0, >= 22.13.0, or >= 24 with npm.

git clone https://github.com/TheStreamCode/chutes-media-mcp

cd chutes-media-mcp npm ci npm run check npm run verify:mcp npm run release:check

npm run check runs the format check, lint, type check, coverage tests, and the build. npm run verify:mcp starts the built stdio server with a placeholder key and validates the MCP handshake, the instructions and the three tool definitions without calling Chutes. npm run release:check keeps package.json, CHANGELOG.md, CITATION.cff and server.json on the same version. CONTRIBUTING.md covers the Windows path caveat and the opt-in live tests.

Support

Ask usage questions in GitHub Discussions, report reproducible defects in GitHub Issues, and report vulnerabilities privately as described in SECURITY.md.

Contributing

See CONTRIBUTING.md. Pull requests must pass the required CI checks.

License

MIT — see LICENSE. Third-party notices are in NOTICE.

Maintained by Michael Gasperini (Mikesoft). If this project is useful to you, consider sponsoring its maintenance.

Chutes Media MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Chutes Media MCP

Install

Quick start

Features

Requirements

Configuration

Privacy and security

Troubleshooting

A Chutes request returns 401

A model returns 503 no-instances

Generation fails with an unknown or rejected parameter

An asset write is rejected

Development

Support

Contributing

License