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Google Sheet Analytics MCP MCP

Model Context Protocol Integration

Overview

MCP server using FastMCP with modular architecture: core mcp_server.py exposes tools interfacing with 3 services - scrapecreators_service.py (Facebook Ad Library API), media_cache_service.py (SQLite caching), & gemini_service.py (AI video analysis). Features intelligent batch processing, ~88% token savings, graceful rate limiting, secure env config, & persistent caching for robust Facebook ad research."

Google Sheet Analytics MCP

MCP server using FastMCP with modular architecture: core mcp_server.py exposes tools interfacing with 3 services - scrapecreators_service.py (Facebook Ad Library API), media_cache_service.py (SQLite caching), & gemini_service.py (AI video analysis). Features intelligent batch processing, ~88% token savings, graceful rate limiting, secure env config, & persistent caching for robust Facebook ad research.

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Featured MCPs

Github MCP - Model Context Protocol for Cursor IDE

Github

This server provides integration with Github's issue tracking system through MCP, allowing LLMs to interact with Github issues.

Sequential Thinking MCP - Model Context Protocol for Cursor IDE

Sequential Thinking

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process. Break down complex problems into manageable steps, revise and refine thoughts as understanding deepens, and branch into alternative paths of reasoning.

Puppeteer MCP - Model Context Protocol for Cursor IDE

Puppeteer

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, execute JavaScript, and perform various browser-based operations in a real browser environment.