XCut AI MCP

The XCut AI MCP server enables AI agents to research viral content and outliers on Instagram, TikTok, YouTube, and Facebook, analyze Meta Ad Library ads, and generate scripts, hooks, and ad copy using the user's saved brand memory and canvases.

Endpoint and access

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

No sign-inEndpoint checked 2026-10-18Operated by XCut AI

MCP endpoint (Streamable HTTP)

https://mcp.xcut.ai/mcp

Vendor documentation

What you can do with it

Find outlier posts that beat a creator's median views on social platforms
Transcribe videos and break down hooks, structure, and calls to action
Search Meta Ad Library for live ads and analyze their angles and offers
Write scripts, hooks, and ad copy in the user's specific brand voice

Tools advertised by the last live check:

xcut_find_hooks
xcut_get_playbook
xcut_hook_ideas
xcut_write_caption
xcut_rewrite_bio
xcut_youtube_titles
xcut_analyze_script
xcut_audit_content
xcut_posting_plan
xcut_competitor_gaps
xcut_check_niche
xcut_repurpose_content
xcut_get_account
xcut_list_canvases
xcut_get_canvas
xcut_create_canvas
xcut_get_brand
xcut_save_memory
xcut_update_memory
xcut_delete_memory
xcut_list_calendar
xcut_add_to_calendar
xcut_update_calendar_post
xcut_delete_calendar_post
xcut_get_breakouts
xcut_scan_watchlist
xcut_search_viral
xcut_find_outliers
xcut_profile_analytics
xcut_get_job
xcut_import_post
xcut_import_website
xcut_import_meta_ad
xcut_import_profile
xcut_add_note
xcut_get_content
xcut_write_content
xcut_run_playbook
xcut_generate_image

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 xcut-ai-mcp https://mcp.xcut.ai/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 xcut-ai-mcp --url https://mcp.xcut.ai/mcp

Cursor

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

Cursor configuration

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

VS Code

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

VS Code configuration

{
  "servers": {
    "xcut-ai-mcp": {
      "type": "http",
      "url": "https://mcp.xcut.ai/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 xcut-ai-mcp https://mcp.xcut.ai/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": {
    "xcut-ai-mcp": {
      "url": "https://mcp.xcut.ai/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": {
    "xcut-ai-mcp": {
      "serverUrl": "https://mcp.xcut.ai/mcp"
    }
  }
}

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