PageRankCafe/mcp-server

Overview

MCP server for PageRankCafe, a marketing platform for AI agents. It exposes PageRankCafe functionality through the Model Context Protocol, allowing MCP-compatible clients to interact with it.

Best for

Best for
Developers who want to connect AI agents to PageRankCafe via MCP

Use cases

• Connect MCP-compatible AI agents to PageRankCafe
• Expose PageRankCafe marketing data to AI tools
• Integrate PageRankCafe into agent workflows

How to use

Install

claude mcp add pagerankcafe --env PAGERANKCAFE_API_KEY=your-api-key-here -- npx -y pagerankcafe-mcp

Tools exposed

• PAGERANKCAFE_API_KEY
• PAGERANKCAFE_BASE_URL
• list_links
• list_banners
• list_youtube_ads
• list_press_releases
• get_credits
• get_referral_stats
• list_posts
• upload_image
• create_banner
• post_banner
• create_youtube_ad
• update_youtube_ad
• create_press_release
• update_press_release
• post_press_release
• create_link
• post_link
• get_platform_insights

Tested with

Claude Desktop, Claude Code, Cursor

Example client config

{\n  "mcpServers": {\n    "pagerankcafe": {\n      "command": "npx",\n      "args": ["-y", "pagerankcafe-mcp"],\n      "env": {\n        "PAGERANKCAFE_API_KEY": "your-api-key-here"\n      }\n    }\n  }\n}

Notes

MCP server for PageRankCafe, a marketing platform for AI agents. It exposes PageRankCafe functionality through the Model Context Protocol, allowing MCP-compatible clients to interact with it.

0 stars on GitHub. Last updated 2026-09-08. Licensed MIT.

Use cases

• Connect MCP-compatible AI agents to PageRankCafe
• Expose PageRankCafe marketing data to AI tools
• Integrate PageRankCafe into agent workflows

Pros

• Built with TypeScript
• Uses the MCP standard for interoperability
• Open source on GitHub

Cons

• No documentation or usage details provided
• No stars or community traction yet
• Unclear what specific PageRankCafe features are exposed

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.