# Web search

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

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

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

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.

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

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

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

A modern MCP server based on the FastMCP framework, providing URL text fetching, web link extraction, and Brave search functions, supporting MCP-compatible clients such as LM Studio.

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.

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

Provide MCP search services based on SearxNG

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

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.

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

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

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

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

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

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.

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

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 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.

An MCP server integrating the SearXNG API and Puppeteer, providing web search and content scraping functions, supporting pagination, time filtering, language selection, and safe search.

The Cardea Web Search MCP Server is a multi-channel protocol service component that provides web search capabilities through the Tavily API

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.