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.

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.

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.

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.

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.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

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.

The MCP Web Search Tool is a server tool that provides real-time web search capabilities for AI assistants. It supports pluggable search engine integration and currently mainly uses the Brave Search API.

A search service implementation based on the MCP protocol, supporting multiple search engines and providing content acquisition capabilities for AI tools.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

UltimateCoder MCP is a locally prioritized automation server designed for developers and engineers, offering terminal command automation, file editing, and AI tool enhancement functions. It supports localized operations to ensure data security, and has advanced file processing, process control, and code search capabilities, suitable for large-scale code refactoring and automated workflows.

Docs MCP Server is a Model Context Protocol server based on the Probe search engine, allowing AI assistants to search for code and document content in local document directories or Git repositories through natural language queries. It supports pre-built content and dynamic configuration and can be easily integrated into MCP clients such as IDEs.

MCP-GetWeb is a protocol server that provides web search and content extraction functions, supporting multiple search engines such as DuckDuckGo, Google, and Felo AI, and can crawl URL content, extract metadata, and convert it into Markdown format.

mcp - searxng is an MCP server example designed for AI agents, which implements the external information search function through the open - source meta - search engine SearXNG. The project demonstrates how to integrate SearXNG and Microsoft's markdownify tool to convert web page content into Markdown - formatted text and communicate with MCP clients via the SSE protocol.

Bocha is a search engine designed specifically for AI, providing high-quality world knowledge retrieval services.

The Godot Docs MCP server is specifically designed for searching the official documentation of the Godot engine, helping AI agents obtain the latest documentation information

The Higress AI-Search MCP Server provides real-time search engine result enhancement for AI models

Agora MCP is an MCP server that connects AI assistants with the SearchAgora product search engine, supporting searching for, comparing, and managing products in the shopping cart through AI assistants, and completing purchases.

The Krep MCP Server is a high - performance string search tool that provides optimized pattern matching functions for AI assistants through the MCP protocol. Although the core functions are simple, the project has problems such as over - engineering, redundant documentation, and chaotic integration.

This is an MCP server implementation based on the Qdrant vector search engine, providing semantic memory storage and retrieval functions, and supporting integration with multiple AI development tools.

An MCP server for the AI Memory Engine Cognee, supporting the construction of knowledge graphs from text and searching.

Agora MCP is an MCP server that connects AI assistants with the SearchAgora product search engine, supporting searching, comparing, and purchasing products through AI assistants.

The Search Fusion MCP Server is a highly available multi-engine search aggregation service that provides intelligent failover, a unified API, and LLM-optimized content processing. It supports 7 search engines such as Google, Serper, and Jina AI, and has advanced functions such as concurrency control, connection pool management, and automatic proxy detection.