MCP server

Marketing Mcp

io.github.varvararatta/marketing_mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

MCP server for Marketing

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

4

Token cost

About 346 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http marketing-mcp https://marketing-mcp.mcpize.run/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.marketing-mcp]
url = "https://marketing-mcp.mcpize.run/mcp"

Gemini CLI

{"mcpServers":{"marketing-mcp":{"httpUrl":"https://marketing-mcp.mcpize.run/mcp"}}}

Cursor

{"mcpServers":{"marketing-mcp":{"url":"https://marketing-mcp.mcpize.run/mcp"}}}

VS Code

{"servers":{"marketing-mcp":{"type":"http","url":"https://marketing-mcp.mcpize.run/mcp"}}}

Antigravity

agy mcp add marketing-mcp https://marketing-mcp.mcpize.run/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"marketing-mcp","server_url":"https://marketing-mcp.mcpize.run/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"marketing-mcp","server_url":"https://marketing-mcp.mcpize.run/mcp"}

Tools

• analyze_seo_keywords ~107 tokens
  Extract top SEO keywords from marketing copy using term frequency. Returns: {keywords: [{word, score}], total_words}
• extract_meta_tags ~97 tokens
  Fetch a page and extract HTML meta tags (title, description, og:*). Returns: {title, description, og_title, og_description, meta: {name: content}}
• word_frequency ~101 tokens
  Count word frequencies in text for content/marketing analysis. Returns: {words: [{word, count, pct}], total}

Browse

• GitHub tools
• SEO
• GitHub and code hosting

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