Why this server?

A Model Context Protocol (MCP) server built for advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API, enabling access to large amount of information.

Why this server?

Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation, thus it can provide a large amount of information

Why this server?

Facilitates web search capabilities using Perplexity's API, allowing users to retrieve search results through Claude's interface, so it can get real-time information and access to large amount of sources.

Why this server?

A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts, allowing for a large amount of information.

Why this server?

Facilitates real-time access to Singapore's Land Transport Authority (LTA) transportation data, offering insights into bus arrivals, train services, traffic conditions, and more through integration with the LTA DataMall API, which provides real-time information.

Why this server?

Provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language, providing access to a large amount of sources.

Why this server?

Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers, which allows access to a large amount of information.

Why this server?

A server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results, this allows for large amount of combined information.