# Web Search

A local web search server based on the MCP protocol that provides functions for web page content search, extraction, and processing, and supports result limitation, domain filtering, and content truncation.

Zed extension that integrates exa-mcp-server to provide web search and content crawling functions

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

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.

An MCP server based on Jina Reader API, providing web content search and retrieval functions.

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

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.

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.

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

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

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

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.

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

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.

An MCP protocol server that implements web search functionality based on the Tavily API and can be installed and used via the Claude extension

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

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

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.

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

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

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.