Why this server?

Enables searching various content types (news, blogs, shopping, images, etc.) through Naver's search API.

Why this server?

A server based on the MCP protocol that uses the Brave API for web search functionality.

Why this server?

Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.

Why this server?

Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature).

Why this server?

Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.

Why this server?

This MCP server allows an AI assistants to search for flight information online using Google Flights. It can find flights for specific dates or search through a range of dates to find all options or just the cheapest ones available.

Why this server?

A Model Context Protocol server that enables large language models to access the latest trending news headlines and detailed content across various categories including recommended, domestic, technology, and sports news.

Why this server?

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.

Why this server?

Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.

Why this server?

A free, open-source service that transforms GitHub projects into MCP endpoints, enabling AI assistants to access and understand project documentation without any setup.