aicut MCP MCP server

The aicut MCP server enables AI agents to generate videos, images, and audio content, manage AI video story episodes, and publish media to social media platforms like TikTok, YouTube, and Instagram. It provides tools for video analysis, upscaling, editing, and managing user accounts and balances.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by aicut

MCP endpoint (Streamable HTTP)

https://mcp.aicut.pro/mcp

Vendor documentation

What you can do with it

Generate AI videos, images, and audio from text prompts
Create and manage staged AI Video Story episodes
Analyze existing videos to extract content details
Publish finished media directly to connected social accounts

Tools advertised by the last live check:

get_balance
list_models
get_recipe
generate_video
get_video
delete_video
list_videos
upscale_image
edit_video
upscale_video
extend_video
motion_control
generate_lipsync
upload_media_widget
upload_media
confirm_upload
generate_image
get_image
list_images
generate_audio
get_audio
list_audio
list_voices
wait_for_generation
show_generation
analyze_video
get_analysis
list_analyses
list_characters
list_series
list_series_ideas
list_niches
generate_from_niche
browse_series
list_trends
get_recreate_brief
generate_cast
generate_cast_portraits
regenerate_cast_portrait
describe_cast_member
generate_story_video
regenerate_story_frame
change_story_scene
remove_story_scene
fire_story_video
render_story_video
generate_fake_text_video
generate_image_story
list_image_story_styles
list_social_accounts
prepare_post
publish_post
get_post_status
review_post

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http aicut-mcp https://mcp.aicut.pro/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add aicut-mcp --url https://mcp.aicut.pro/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable aicut-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "aicut-mcp": {
      "url": "https://mcp.aicut.pro/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "aicut-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.aicut.pro/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start aicut-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "aicut-mcp": {
      "type": "http",
      "url": "https://mcp.aicut.pro/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http aicut-mcp https://mcp.aicut.pro/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "aicut-mcp": {
      "url": "https://mcp.aicut.pro/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "aicut-mcp": {
      "serverUrl": "https://mcp.aicut.pro/mcp"
    }
  }
}

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