# Web Search

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

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.

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.

This is an extended project based on the AWS sample code repository, adding example functionality for PostgreSQL database connection and Wikipedia web search.

An MCP server based on the Tavily API that provides real-time web search functionality for AI models and supports configuration of multiple search parameters.

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

o3 - search - mcp is an MCP server that supports using the OpenAI o3 model and its powerful web search function to help AI programming agents independently solve complex problems.

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.

An intelligent research agent tool based on HuggingFace smolagents, providing advanced research functions such as web search and document analysis

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 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 implementation integrating the Brave Search API, providing web search and local search functions, supporting result filtering and intelligent fallback mechanism.

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

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 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.

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.

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

MCP-GetWeb is a protocol server that provides web search and content extraction functions, supporting multiple search engines such as DuckDuckGo, Google, and Felo AI, and can crawl URL content, extract metadata, and convert it into Markdown format.

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

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.

The Linkup MCP Server is a server based on the Model Context Protocol, providing real-time web search and web page content scraping functions through the Linkup API, enabling AI assistants to access the latest information on the Internet.

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.

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.

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