Build-Ready Startup Blueprints

Google Ads Library MCP

MCP server built on FastMCP with 3 core services: ScrapeCreators API (Google Ads Transparency), SQLite media cache, & Gemini AI for video analysis. Exposes 7 tools for ad search, retrieval, AI media a

MCP server built on FastMCP with 3 core services: ScrapeCreators API (Google Ads Transparency), SQLite media cache, & Gemini AI for video analysis. Exposes 7 tools for ad search, retrieval, AI media analysis & cache mgmt. Uses intelligent caching in ~/.cache/google-ads-mcp/ to avoid redundant calls. Handles images (Claude vision) & videos (Gemini) with full error handling. The Google Ads Library MCP integration brings powerful functionality to AI assistants through the Model Context Protocol, allowing seamless interaction with Google Ads Library MCP's features.

Media

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 c

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. Through the Model Context Protocol, Google Sheet Analytics MCP provides AI agents with direct access to its platform, enabling automated workflows and smart integrations.

Database

Daisys TTS MCP Server

🎙 DAISYS MCP Server — Custom Voices & Real-Time TTS Bring your characters, assistants, or creative projects to life with Daisy’s MCP Server — a powerful and flexible server for generating custom voic

🎙 DAISYS MCP Server — Custom Voices & Real-Time TTS Bring your characters, assistants, or creative projects to life with Daisy’s MCP Server — a powerful and flexible server for generating custom voices and speaking through text-to-speech (TTS). ✨ Features: 🎨 Custom Voice Creation – Generate and use unique, AI-powered voices tailored to your needs. 🗣 Real-Time Text-to-Speech – Instantly speak any text through your chosen voice. Leverage Daisys TTS MCP Server within your AI workflow using the Model Context Protocol. This server enables AI assistants to work with Daisys TTS MCP Server's tools and data programmatically.

AI

SVGMaker MCP Server

SVGMaker MCP Server is a powerful, AI-driven tool for generating and editing SVG graphics via natural language. It supports seamless LLM integrations (Claude, Cursor, VS Code, and more), real-time upd

SVGMaker MCP Server is a powerful, AI-driven tool for generating and editing SVG graphics via natural language. It supports seamless LLM integrations (Claude, Cursor, VS Code, and more), real-time updates, secure file handling, and TypeScript support—making it ideal for developers, designers, and automation workflows. The SVGMaker MCP Server MCP integration empowers AI assistants to tap into SVGMaker MCP Server's ecosystem, providing automated access to its core features and services.

AI

Telegram MCP

Telegram API integration for accessing user data, managing dialogs (chats, channels, groups), retrieving messages, and handling read status

Telegram API integration for accessing user data, managing dialogs (chats, channels, groups), retrieving messages, and handling read status. With the Telegram MCP MCP server, AI assistants can interact directly with Telegram MCP's capabilities, streamlining your workflow and enabling intelligent automation.

Messaging

Desktop Commander MCP

Supercharge Cursor with full system control. While Cursor handles basic files/commands, Desktop Commander gives Claude persistent shells, SSH access, Docker control, and true DevOps capabilities. Tran

Supercharge Cursor with full system control. While Cursor handles basic files/commands, Desktop Commander gives Claude persistent shells, SSH access, Docker control, and true DevOps capabilities. Transform Claude from a coding assistant into your infrastructure partner. Perfect for deployment automation, server management, and complex multi-step DevOps tasks that Cursor's limited terminal simply can't handle. The combo developers love: Cursor for code, Desktop Commander for everything else. The Desktop Commander MCP integration brings powerful functionality to AI assistants through the Model Context Protocol, allowing seamless interaction with Desktop Commander MCP's features.

Cloud

DigitalOcean Database MCP Server

This Model Context Protocol (MCP) server enables seamless integration between AI-powered development environments and your DigitalOcean managed databases. Works with Cursor AI, Claude Desktop, Windsur

This Model Context Protocol (MCP) server enables seamless integration between AI-powered development environments and your DigitalOcean managed databases. Works with Cursor AI, Claude Desktop, Windsurf, VS Code with AI extensions, and any other IDE that supports MCP. Instead of manually managing database credentials, simply use your DigitalOcean API token to automatically discover and connect to any of your database clusters. Through the Model Context Protocol, DigitalOcean Database MCP Server provides AI agents with direct access to its platform, enabling automated workflows and smart integrations.

API

SendLayer MCP

Integrate with SendLayer's Email API to allow sending transactional emails and managing events.

Integrate with SendLayer's Email API to allow sending transactional emails and managing events. Leverage SendLayer MCP within your AI workflow using the Model Context Protocol. This server enables AI assistants to work with SendLayer MCP's tools and data programmatically.

Email

RunPod

Manage your RunPod cloud resources directly through an MCP-compatible client. Create, list, update, start, stop, and delete pods, serverless endpoints, templates, network volumes, and container regist

Manage your RunPod cloud resources directly through an MCP-compatible client. Create, list, update, start, stop, and delete pods, serverless endpoints, templates, network volumes, and container registry authentications with ease. Streamline your RunPod operations using natural language commands via Claude or other MCP clients. The RunPod MCP integration empowers AI assistants to tap into RunPod's ecosystem, providing automated access to its core features and services.

Cloud

Oxylabs Web Scraper API

Automated web scraper designed to extract data from Google, Amazon, and other websites. Highly scalable with built-in proxy servers and a headless browser, delivering structured web content in JSON an

Automated web scraper designed to extract data from Google, Amazon, and other websites. Highly scalable with built-in proxy servers and a headless browser, delivering structured web content in JSON and Markdown formats. With the Oxylabs Web Scraper API MCP server, AI assistants can interact directly with Oxylabs Web Scraper API's capabilities, streamlining your workflow and enabling intelligent automation.

API

Alpaca

Alpaca’s official MCP server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

Alpaca’s official MCP server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs. The Alpaca integration brings powerful functionality to AI assistants through the Model Context Protocol, allowing seamless interaction with Alpaca's features.

AI

BrowserStack

BrowserStack MCP Server allows you to use our cutting-edge Test Platform directly from your favourite AI tools. Enable every developer and tester in your team, whether they are testing manually, start

BrowserStack MCP Server allows you to use our cutting-edge Test Platform directly from your favourite AI tools. Enable every developer and tester in your team, whether they are testing manually, starting their automation journey, or scaling test automation. Through the Model Context Protocol, BrowserStack provides AI agents with direct access to its platform, enabling automated workflows and smart integrations.

AI

MCP Tools