# Web Search

The MCP Gemini API server is a Google Gemini API proxy service designed for Cursor and Claude, providing functions such as text generation, image analysis, video analysis, and web search.

This project uses the SmolAgents library to build an AI assistant that integrates Brave Search and Crawl4ai's MCP server, capable of performing web searches and crawling functions.

An MCP server implementation integrating the SearXNG API, providing web search functions and supporting features such as pagination, time filtering, language selection, and safe search.

The OpenAI WebSearch MCP Server provides web search functionality for AI assistants through the Model Context Protocol, supporting the acquisition of the latest information during conversations.

An MCP server implemented for the RAG Web Browser Actor, supporting AI agents to perform web searches and content extraction.

A simple MCP server based on Perplexity AI, providing web search functionality and supporting development and deployment in the Windows environment.

An MCP service for web search without an API key based on multiple search engines, supporting structured result return and article content retrieval

Demonstrate how to use Pydantic AI and the MCP Server to create a web search agent

WebSearch is an advanced web search and content extraction tool based on Python and the Firecrawl API, providing functions such as intelligent search, content scraping, and web crawling, and supporting MCP protocol integration.

An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

The Tavily MCP Server is an AI web search service based on the Tavily Search API, providing web search, answer generation, and news search functions, and supporting multiple installation and configuration methods.

An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.

An MCP server implementation integrating the SearxNG API, providing web search functionality and supporting pagination control.

ResearchMCP is a research tool that combines the Model Context Protocol (MCP) with multiple search engines, aiming to provide research capabilities similar to ChatGPT DeepResearch.

WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.

Bocha is a search engine designed specifically for AI, providing high-quality search services for nearly tens of billions of web pages and ecological content across the network, supporting structured data in multiple vertical fields such as weather, news, and encyclopedias, and suitable for various AI applications.

An MCP server that enhances local LLM services, providing functions such as web text scraping, link extraction, and web search.

A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document retrieval, API lookup, and code analysis.

An MCP server that provides Google Search and web content viewing functions, with advanced anti - crawler evasion technology

An MCP service project based on DuckDuckGo, providing web search, result extraction, content retrieval, and summary generation functions.

A lightweight MCP server tool that provides efficient web content search and extraction functions for LLMs, supporting DuckDuckGo search, GitHub code search, and web content cleaning to optimize LLM input.

The Linkup MCP Server is a tool used to integrate Linkup's web search functionality with AI models supporting function calls through the MCP protocol.

A Google search MCP service without an API key, providing structured web search results

The MCP Server is a server that provides AI assistants with the ability to perform web searches and access web pages, supporting the secure acquisition of real-time information and the processing of web page content.

Perplexity Deep Research MCP is a Model Context Protocol server that provides web search functionality for the Perplexity AI API, supporting AI assistants to perform web searches using the sonar - deep - research model.

An MCP server project based on the Tavily API for performing web searches and returning results, supporting integration with clients such as Claude Desktop and Cursor.

A DuckDuckGo search plugin designed for Claude Code, providing functions such as web search, result detail acquisition, and related search suggestions, supporting advanced filtering and content exploration.

DuckDuckGo Search MCP is a fast, privacy-friendly Model Context Protocol (MCP) server based on DuckDuckGo, providing web search and URL content extraction functions and being compatible with multiple AI providers.

An MCP server implementation integrating multiple search engines and web page scraping functions