# Web search

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

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

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.

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.

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.

This is an MCP server for the Synthetic Search API designed for personal use. It can run locally through OpenCode configuration and provides web search functionality.

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.

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.

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.

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

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

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.

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.

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

An MCP server based on the Synthetic API that provides web search tools for MCP-compatible applications such as Claude.

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

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.

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

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.

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 based on the Perplexity API, providing web search tools.

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

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

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

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.