# Web Search

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

An MCP server based on the Kagi API, providing web search, content enhancement, and news acquisition functions.

An MCP server based on the Perplexity API that provides web search functionality for AI assistants, supporting time filtering and result citation.

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.

ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.

A powerful MCP server that provides web search and similar content search functions, specifically designed for Claude Desktop.

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.

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

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.

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.

An MCP server that provides Google search and web content viewing functions, with advanced anti-bot detection and avoidance capabilities, supporting custom search, caching, and browser instance pool management.

An MCP server project that uses the Tavily API for web searches and can be integrated into Claude Desktop to provide search functionality

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.

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

A powerful MCP server that provides web search and similar content search functions, supporting integration with Claude Desktop

This project implements the integration of the TypeScript MCP proxy with Ollama. Through a unified interface, AI models can call multiple tools, supporting functions such as file operations and web searches.

This project is an MCP server demonstration based on the Tavily API, used to handle web search queries and supports the standard input-output transmission mode.

This project provides two implementations of the MCP server, connecting Claude Desktop with Azure search capabilities and supporting document and web content search through Azure AI agent service (recommended) or direct Azure AI Search integration.

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.

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

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

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.

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.

This project is an MCP server designed for the Google Programmable Search Engine (PSE) API, providing a web search tool to compatible clients (such as VSCode, Copilot, etc.) through the MCP protocol.

This project provides multiple Model Context Protocol servers, including web search, weather query, and memory storage functions, enabling AI models to integrate external tools and data sources.

A privacy - friendly web search server based on the MCP protocol, providing multi - engine parallel search functions for web pages, social media, and archives, supporting cache management and security verification.

The Local MCP Tools Collection aims to simplify the integration of multi - functional tools for local large language models, supporting multiple MCP servers through a single virtual environment, including web search, Python sandbox, and long - term memory functions.

An MCP server that provides Perplexity API web search functionality for the Claude desktop application

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.