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 based on SerpApi for quickly retrieving search engine parsing results.

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.

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.

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

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

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.

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

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.

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

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

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.

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.

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

A Docker Compose solution for quickly deploying the Qdrant vector search engine and MCP protocol server locally

Uncover MCP is an MCP service implementation based on the uncover tool, used to quickly discover exposed hosts on the Internet, supporting multiple search engines and output formats.

The Kagi MCP Server is a tool integration service that provides search and summarization functions for Claude Desktop, supporting API calls to Kagi's search and summarization engines.

This project is an MCP server designed for the Google Programmable Search Engine (PSE) API, providing a web search tool to compatible clients (such as VSCode, Copilot, etc.) through the MCP protocol.

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

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.

An MCP server that provides a language model interface for the SearXNG search engine.

Google Custom Search Engine MCP Server provides search capabilities for LLMs

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.

File Search MCP is a dedicated MCP server built on Rust, providing full-text search functionality for text files in the file system. It uses the Tantivy search engine for efficient indexing and retrieval.

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.

The SearXNG MCP server project runs a remote Python script via uv and specifies the SearXNG instance URL

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.

An MCP server implementation for the DataForSEO API, supporting queries of various search engine data

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

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.

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

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.

The FetchSERP MCP Server is an API service that provides SEO analysis, search engine result retrieval, web page scraping, and keyword research functions, supporting multiple deployment methods.

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

Fess MCP Server is a middleware server used to integrate with the Fess search engine. By configuring MCP clients (such as Claude for Desktop), agents can use Fess to obtain information.

This project is a server based on the Model Context Protocol (MCP) that allows submitting URL indexing requests via the IndexNow protocol to help search engines discover and index website content faster.