Production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
Facilitates integration of Brave Search functionalities with AI assistants through the Model Context Protocol, enabling web and local searches using the Brave Search API.
A Model Context Protocol server that provides DuckDuckGo search functionality for Claude, enabling web search capabilities through a clean tool interface with rate limiting support.
Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
Integrates Tavily's search API with LLMs to provide advanced web search capabilities, including intelligent result summaries, domain filtering for quality control, and configurable search parameters.
Enables efficient web search integration with Jina.ai's Search API, offering clean, LLM-optimized content retrieval with support for various content types and configurable caching.
A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.
Give Claude access to real-time knowledge and premium content. Get rid of Claude's cutoff data and transform Claude's responses with current events, and trusted, premium sources through Linkup's powerful search capability.
Provides web search capabilities through Baidu with content fetching and parsing features, allowing LLMs to search the web and extract webpage content.
An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. This server enables AI models to perform Google searches and analyze webpage content programmatically.
Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified information.
Enables performing local web searches and extracting structured content from web pages using the Model Context Protocol, featuring customizable result limits and domain filtering.
This server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.
This server provides a privacy-focused meta search capability by integrating multiple search engines without tracking or user profiling, supporting various categories and languages for filtered searches.
Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.
Enables Google search and webpage content extraction via Chrome for macOS, allowing access to both unauthenticated and authenticated content, and integrates with Claude for secure and automated browsing tasks.
Enables AI models to search the web for current information before generating responses, with features for conditional searching, geographic customization, and automatic citations.
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.