# Web search

An MCP server integrating Azure AI Search Agent Service with Claude Desktop

A privacy-friendly web search server based on MCP technology, using SearXNG to achieve multi-engine search functions, supporting multiple search categories and filtering options.

An MCP server implemented with the Kagi search API based on Node.js, providing web search functionality for AI assistants, supporting parallel queries and formatted results.

An MCP server that provides Google search and web page content viewing functions, with advanced anti-bot detection evasion features, including search filtering, caching, and browser pool management.

An MCP server based on Puppeteer that provides Google web search functionality and returns structured JSON results.

An MCP service that combines DuckDuckGo search, web content extraction, and screenshot functions, supporting programmatic access to online content.

A Python-based MCP protocol server that integrates the Serper API to implement web search and content extraction functions

An MCP server implementation integrating the Brave Search API, providing web and local search functions, supporting pagination, filtering, and smart fallback mechanisms.

This project builds a web search tool through the Tavily API and the MCP protocol, which can provide real-time web search functionality for AI systems, supporting asynchronous processing and structured result return.

A simple MCP search service based on Jina AI, providing web search, URL content scraping, and deep search functions.

A locally run RAG - style Model Context Protocol (MCP) server for web search. It can provide the latest web information retrieval function for models such as Claude without using an API.

The Tavily MCP Server is an open-source tool based on the Model Context Protocol (MCP) that provides real-time web search and data extraction capabilities for AI systems such as Claude. It supports seamless integration with multiple MCP clients (such as Cline, Cursor, and Claude Desktop), enabling AI assistants to access Tavily's advanced search and content extraction functions.

This project implements an MCP server that provides services for the RAG web browser Actor, enabling AI assistants to perform web searches, scrape the content of specified URLs, and return cleaned content in Markdown format.

An MCP protocol server based on the Google Custom Search API, providing standardized web search capabilities for language models.

An MCP server implementation integrating the Brave Search API, providing web search and local search functions.

A Tavily search and content extraction MCP server implemented in Rust, providing web search and URL content extraction functions for AI proxy systems through a standardized protocol.

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

An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models

A modular server based on FastAPI and FastMCP, integrating mathematical tools, weather APIs, web searches, audio generation, and external API calls, supporting AI tool calls and resource routing.

This project provides two implementations of the MCP server, connecting Claude Desktop with Azure search capabilities, supporting document search and web search. You can choose to use the Azure AI Agent service or directly integrate Azure AI Search.

WebSearch-MCP is a service that implements the Model Context Protocol (MCP). It provides web search capabilities by integrating the WebSearch Crawler API and supports multiple AI clients to obtain web information in real-time.

This is a project based on the MCP protocol that integrates Zhipu AI and Tencent Map API, providing functions such as weather query, geocoding, and web search, and supporting two interaction methods: command line and web interface.

An MCP server based on the Perplexity API, providing web search tools.

An MCP server based on the Jina AI API, providing web content scraping and semantic search functions, supporting Docker deployment and Claude desktop integration.

Parallel Search MCP is a tool that allows the use of parallel search APIs in MCP-compatible LLM clients, suitable for daily small-scale web search tasks

Google Researcher MCP Server is a service that provides professional research tools for AI assistants, supporting Google search, web scraping, academic paper and patent queries, etc. It can be integrated into AI applications such as Claude through the MCP protocol.

The MCP Edge Search Server is a Python service that provides web search and content extraction functions for MCP clients (such as Claude Desktop), supporting Bing search and web text cleaning.

An MCP server implementation that integrates the Google Custom Search JSON API, providing web search functionality, supporting advanced filtering and returning structured results.

An MCP server based on DuckDuckGo, providing web search and content crawling functions, with features such as rate limiting and LLM-friendly output.

An MCP server based on the Google Custom Search API, providing web search and content extraction functions.