# Web search

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

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

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.

Jina AI MCP Tools is a Model Context Protocol server integrating Jina AI's basic search API, providing web content extraction, web search, and fact-checking functions, and supporting integration through the Cursor editor.

The Crawleo MCP Server provides real-time web search and content crawling functions for AI assistants. It is integrated through the Model Context Protocol, supporting multi-format output and deep content extraction.

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.

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.

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.

A lightweight web search service based on the MCP protocol

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.

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

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

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 search and local search functions.

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

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.

SearXNG MCP is a model context protocol server based on the SearXNG privacy-protecting metasearch engine, providing web search functionality for AI assistants. It supports zero-configuration use of public instances or connection to private instances, with features such as customizable search parameters, multi-search engine support, and privacy-first.

A simple MCP server based on Perplexity AI, providing web search functionality

An MCP server based on SearxNG that provides privacy-protective web search functions for AI assistants, supporting multiple integration methods and transmission protocols.

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.

This project implements an MCP protocol server that provides a web search tool based on OpenRouter and can generate concise and real - time answers.

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

A model context service extension that provides Brave search for the Zed AI assistant, supporting web and local search commands.

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.

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.