# Web Search

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.

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

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.

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.

A TypeScript-based MCP server that provides web search and content scraping functions through the Serper API and supports integration with Claude Desktop.

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 for web search

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

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.

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.

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

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.

A server project based on the MCP protocol that implements web search functionality by integrating the Brave API and can be used as a Claude extension.

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 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.

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

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

An advanced web search and content extraction tool based on Python and the Firecrawl API, providing functions such as web page search, content scraping, and website crawling, and supporting MCP protocol integration.

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 based on the Google Custom Search API, providing web search and content extraction functions

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

A web search tool project based on DuckDuckGo, including an MCP server and client, which needs to be accessed through a browser interface

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

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.