# Web search

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.

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

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

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.

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.

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

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

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

A lightweight web search service based on the MCP protocol

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

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.

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.

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 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 Puppeteer that provides Google web search functionality and returns structured JSON results.

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.

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.

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

Provide MCP search services based on SearxNG

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.