Koskamo

UGCfy AI MCP

The UGCfy AI MCP server enables AI assistants to analyze short-form video ads, rewrite them for specific products, generate engaging hooks, write UGC-style video scripts, and calculate advertising costs like CPM without requiring an API key.

Endpoint and access

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

UGCfy AI MCP logo, by UGCfy AINo sign-inEndpoint checked 2026-10-18Operated by UGCfy AI
MCP endpoint (Streamable HTTP)
https://ugcfy.ai/api/mcp
Vendor documentation

What you can do with it

  • Break down competitor TikTok or Instagram Reels ads to extract hooks and structure
  • Rewrite proven ad scripts for a new product while maintaining the original hook type
  • Generate 8 scroll-stopping UGC ad hooks with psychological explanations
  • Calculate CPM, budget, or impressions for advertising campaigns
Tools advertised by the last live check:
  • breakdown_ad
  • rewrite_ad_for_product
  • generate_hooks
  • write_ugc_script
  • estimate_ad_cost

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 ugcfy-ai-mcp https://ugcfy.ai/api/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 ugcfy-ai-mcp --url https://ugcfy.ai/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable ugcfy-ai-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "ugcfy-ai-mcp": {
      "url": "https://ugcfy.ai/api/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": {
    "ugcfy-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://ugcfy.ai/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start ugcfy-ai-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "ugcfy-ai-mcp": {
      "type": "http",
      "url": "https://ugcfy.ai/api/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 ugcfy-ai-mcp https://ugcfy.ai/api/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": {
    "ugcfy-ai-mcp": {
      "url": "https://ugcfy.ai/api/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": {
    "ugcfy-ai-mcp": {
      "serverUrl": "https://ugcfy.ai/api/mcp"
    }
  }
}

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