🎩 You're Invited:Meet the Socket team at Black Hat in Las Vegas, August 3-6.RSVP
Sign In

freebeat-mcp

Package Overview
Dependencies
Maintainers
1
Versions
4
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

freebeat-mcp

Freebeat MCP Server

latest
Source
npmnpm
Version
0.1.4
Version published
Maintainers
1
Created
Source

freebeat-mcp

MCP server for Freebeat creative workflows.

Use it from MCP clients such as Claude Desktop and Cursor through npx freebeat-mcp.

It currently supports audio and image upload, effect template discovery, AI effect generation, AI music video generation, Open RPC image/video generation, model discovery, and async task polling.

Features

  • Local audio upload or source URL import
  • Image upload for workflows that accept reference images
  • Supported effect template listing
  • AI effect generation
  • AI music video generation
  • Supported image and video model discovery
  • AI image generation and single-image editing
  • AI text-to-video generation
  • Generic task polling and result retrieval

Installation

Run the server through npm without a separate install step:

npx -y freebeat-mcp

Prerequisites

  • Get your API key from freebeat.ai.
  • Use an MCP client such as Claude Desktop or Cursor.

Configuration

Claude Desktop

{
  "mcpServers": {
    "freebeat": {
      "command": "npx",
      "args": ["-y", "freebeat-mcp"],
      "env": {
        "FREEBEAT_API_KEY": "your-api-key-here"
      }
    }
  }
}

Cursor

{
  "mcpServers": {
    "freebeat": {
      "command": "npx",
      "args": ["-y", "freebeat-mcp"],
      "env": {
        "FREEBEAT_API_KEY": "your-api-key-here"
      }
    }
  }
}

Environment Variables

VariableRequiredDescription
FREEBEAT_API_KEYYesAPI authentication key

This package depends on Freebeat online services. Available source platforms, effect templates, and generation capabilities may change with backend updates.

Tools

upload_audio

Upload a local audio file or import from a music platform URL.

Currently supported platforms:

  • SoundCloud
  • YouTube
  • Suno
  • Udio
  • TikTok
  • Stable Audio
  • Riffusion

Provide exactly one of file_path or url.

Returns a music_id that can be used by either generate_music_video or generate_effect.

upload_image

Upload one or two images and receive image_urls.

For MV generation, pass the returned image_urls into generate_music_video.reference_image_urls.

For effect generation, the default recommendation is still list_effects.image_url, but you can also upload one image and pass image_urls[0] into generate_effect.reference_image_urls.

list_effects

List supported effects with:

  • effect_id
  • display_name
  • image_url
  • preview_video_url
  • default_music_id
  • default_music_name
  • aspect_ratio

For effect generation, pass:

  • effect_id into generate_effect.effect_id
  • default_music_id into generate_effect.music_id
  • image_url as the default single entry in generate_effect.reference_image_urls

You can use the built-in effect image directly, or replace it with a single uploaded image URL from upload_image.

generate_effect

Start an async effect generation task.

Recommended flow:

  • list_effects
  • optional upload_audio if you want to replace the effect's default music
  • optional upload_image if you want to replace the effect's default image
  • generate_effect
  • get_task_status
  • get_task_result only after status is completed

Parameters:

  • effect_id required
  • music_id required, usually default_music_id from list_effects, or a music_id from upload_audio if you want to replace it
  • prompt required, trimmed length must be 1 to 2000
  • watermark optional, default false
  • reference_image_urls required and must contain exactly one image URL; recommended default is list_effects.image_url, but you can also use upload_image.image_urls[0]

Returns a task envelope with:

  • task_id
  • task_type currently effect_generation
  • status

generate_music_video

Start an async MV generation task from a music_id returned by upload_audio.

Recommended flow:

  • upload_audio
  • optional upload_image
  • generate_music_video
  • get_task_status
  • get_task_result only after status is completed

Parameters:

  • music_id required, from upload_audio
  • prompt required, trimmed length must be 1 to 2000
  • mv_type optional, default abstract
  • style optional
  • aspect_ratio optional, default 16:9
  • resolution optional, default 720
  • watermark optional, default false
  • start_ms optional
  • end_ms optional
  • reference_image_urls optional

Returns a task envelope with:

  • task_id
  • task_type currently music_video_generation
  • status

list_models

List supported Open RPC models for either image or video.

Recommended flow:

  • list_models with type: "image" before generate_image or edit_image
  • list_models with type: "video" before generate_video
  • optional get_model_help for model-specific examples and constraints

Each model entry includes:

  • model_id
  • model, the API model key when one is available
  • display_name
  • commands
  • constraints

get_model_help

Show detailed usage guidance for one Open RPC model.

Parameters:

  • model required, using either a numeric model_id or API model key from list_models

Use this before video generation to confirm required duration, resolution, supported aspect_ratio, and whether generate_audio is supported. For video models, help also lists supported generation modes (text, image, transition, reference) and duration values by resolution when the local catalog has that detail.

generate_image

Create an async Open RPC image generation batch.

Recommended flow:

  • list_models with type: "image"
  • optional get_model_help
  • generate_image
  • get_task_status with the returned batch_id

Parameters:

  • model required, from list_models
  • prompt required, trimmed length must be 1 to 2000
  • size optional
  • resolution optional
  • quality optional
  • output_format optional, for supported models such as png, jpeg, or webp
  • custom_resolution optional, only accepted for models that support custom pixel dimensions
  • count optional, default 1

For GPT-Image 1.5 (model_id 70) and GPT-Image 2 (model_id 108), the MCP server sends quality: "medium" and resolution: "1024x1024" by default when omitted. GPT-Image 1.5 currently accepts resolution values 1024x1024, 1536x1024, and 1024x1536; GPT-Image 2 exposes its broader list through get_model_help. If resolution is omitted but size is provided, that size is also sent as resolution for compatibility.

edit_image

Create an async Open RPC single-image edit batch.

Recommended flow:

  • upload_image or provide an existing image URL
  • list_models with type: "image"
  • optional get_model_help
  • edit_image
  • get_task_status with the returned batch_id

Parameters:

  • model required, from list_models
  • image required, a single image URL
  • prompt required, trimmed length must be 1 to 2000
  • size optional
  • resolution optional
  • quality optional
  • output_format optional
  • custom_resolution optional
  • count optional, default 1

For Qwen Image Edit (model_id 76), the MCP server sends quality: "medium", resolution: "1024x1024", and customResolution: 1 by default for pricing compatibility.

generate_video

Create an async Open RPC video generation batch.

Recommended flow:

  • list_models with type: "video"
  • get_model_help
  • generate_video
  • get_task_status with the returned batch_id

Parameters:

  • model required, from list_models
  • prompt required, trimmed length must be 1 to 2000
  • generation_type optional, default text; supported values are text, image, transition, and reference
  • images required for non-text modes: exactly one for image, exactly two for transition, at least one for reference; entries may be image URLs or local image paths
  • duration required when the selected model declares supported durations
  • resolution required when the selected model declares supported resolutions
  • aspect_ratio optional, validated when the selected model declares supported ratios
  • style optional, only accepted for models that declare styles
  • generate_audio optional, only accepted for models that support generated audio
  • multi_clip optional, only accepted for models that support multi-clip generation
  • watermark optional, default false; Open RPC video requests send watermark: 0 unless set

Video model constraints are validated locally before a request is sent. Local images used for video generation must be at least 300x300 and are uploaded automatically. wan-v2.6-video is not exposed until its downstream reference image mapping is fixed; kling-o3-pro currently exposes text, image, and transition, but not reference.

get_task_status

Poll a Freebeat async task or Open RPC batch until it reaches a terminal status. Current MCP endpoints return lowercase status values such as pending, completed, and failed; older backends may still return uppercase variants.

For legacy MV/effect tasks, continue polling while the status is still in progress. Only call get_task_result after the status is completed.

For Open RPC image/video batches, pass the returned batch_id as task_id. You can also pass serial_no to query a single batch item. Completed batch items include result URLs directly in get_task_status, so get_task_result is not used for Open RPC batches.

Returns a stable task envelope including:

  • task_id
  • task_type
  • status
  • error_message optional, present when backend reports a failed task
  • error_code optional, present when backend reports a failed task
  • message optional, present when status is completed or failed
  • items optional, present for Open RPC batches and containing image_url, video_url, or edit_images when available

get_task_result

Retrieve the output for a completed task. Only call this after get_task_status returns completed. The response uses a stable envelope with task_id, task_type, status, and result.

If the task is not completed yet, this tool returns error code TASK_NOT_COMPLETED.

If the task has failed, this tool surfaces the backend failure as an error.

For current supported completed MV tasks, result is an object containing:

  • video_url
  • cover_url

Completed effect generation results use the same result object fields:

  • video_url
  • cover_url

Keywords

mcp

FAQs

Package last updated on 10 Jul 2026

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts