# 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.

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 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.

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

TOOL4LM is an MCP server that provides multi-tool support for local language models. It integrates functions such as web search, document reading, academic query, and calculator, and can enhance model capabilities without a default API key.

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

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 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.

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

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

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

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.

A local web search server based on the MCP protocol, providing web content search and extraction functions.

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

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.

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

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

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.

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.

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.

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

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

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.

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