The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

An MCP service for web search without an API key based on multiple search engines, supporting structured result return and article content retrieval

An MCP server providing Marginalia search services

Crawl4AI MCP Server is an intelligent information acquisition server based on the MCP protocol, which provides multi - engine search and optimized web content extraction functions for AI systems, and converts web pages into a format suitable for LLM processing.

An MCP server based on SerpApi for quickly retrieving search engine parsing results.

The FetchSERP MCP server is an API service that provides functions such as SEO analysis, SERP query, web page crawling, and keyword research, supporting multiple deployment methods.

The Searchcraft MCP Server is a toolset based on the Searchcraft vertical search engine, used to manage documents, indexes, federations, access keys, and analytical data, and supports performing management operations through natural language instructions.

DARPEngine is a search engine that provides metadata storage and intelligent search functions for MCP servers, supporting CLI, API access, and MCP tool integration.

An MCP server implementation integrating multiple search engines and web page scraping functions

An MCP server that integrates the Everything search engine, providing powerful file search capabilities

ResearchMCP is a research tool that combines the Model Context Protocol (MCP) with multiple search engines, aiming to provide research capabilities similar to ChatGPT DeepResearch.

An MCP server integrating the Everything search engine, providing powerful file search functions.

Bocha is a search engine designed specifically for AI, providing high-quality search services for nearly tens of billions of web pages and ecological content across the network, supporting structured data in multiple vertical fields such as weather, news, and encyclopedias, and suitable for various AI applications.

Lyra Intel is a complete intelligent infrastructure engine for large-scale codebase analysis. It combines in-depth code analysis, AI-driven insights, semantic search, and security scanning, supports deployment from local to enterprise level, and provides comprehensive code understanding, security auditing, and intelligent insight functions.

A Terraform module RAG engine that supports automatic import of multiple repositories, code analysis, vector storage, and semantic search, providing CLI, API, and MCP service interfaces.

The Zoekt MCP Server is a Model Context Protocol service based on the Zoekt code search engine, providing code search, repository discovery, and content fetching functions, specifically designed for AI tool integration.

An MCP server implementation based on the DuckDuckGo search engine, providing structured search, intelligent classification, and language detection functions, and supporting integration with AI clients.

A FastMCP based MCP server that provides seamless access to the 4get meta search engine API, supports web, image, and news searches, has intelligent caching, retry mechanisms, and rich response formats.

An MCP server implementation integrated with SearXNG, providing privacy - protected meta - search functions, supporting multi - engine search, language filtering, time range filtering, etc.