G-Search MCP is a Playwright - based Google parallel search service that supports simultaneous search with multiple keywords and returns structured results.

This project is an MCP server that connects to Amazon advertising data, providing access to sponsored product, brand, and display advertising resources, including ad campaigns, keywords, product ads, etc., and supporting report query and recommendation functions.

An offline IP Whois query tool that supports querying attribution information through IPv4 addresses and reverse searching for associated IP segments through keywords. It can be used for target asset collection and now integrates the MCP protocol for easy invocation by AI clients.

Context Lens is a local semantic search tool that can convert any content into a searchable knowledge base, enabling AI assistants to understand the meaning rather than just match keywords. It uses a built - in LanceDB vector database, supports local files, GitHub repositories, and URL content, does not require an API key or cloud service, and processes data completely locally.

The ExploitDB MCP Server is a Model Context Protocol server that provides security vulnerability query services, supporting searching for vulnerability information by keywords, CVE numbers, etc., and includes functions such as vulnerability details, statistical data, and automatic updates.

This is a search intent analysis service based on the MCP protocol. It analyzes the intent of users' search keywords through an API, provides classification, reasoning processes, and relevant suggestions, and is mainly used for SEO analysis.

The Meilisearch Hybrid Search MCP service provides a hybrid search function that combines keywords and semantic vectors.

An MCP server implementation that provides job search functionality and supports filtering jobs by keywords, remote work, and other conditions.

An unofficial MCP server that provides access to the Keywords Everywhere API for SEO research and keyword analysis, supporting functions such as keyword data, related keywords, domain analysis, traffic metrics, and backlink analysis.

The Unsplash MCP Server is a simple service for seamlessly integrating Unsplash image search functionality. It supports multiple filtering conditions such as keywords, colors, and orientations, and is suitable for developers to integrate into their own applications.

An MCP server for indexing and searching Jekyll blog content, supporting AI assistants to query blog articles by keywords, categories, tags, etc., and providing functions such as draft duplicate checking and category statistics.

The Academic Author Network Analysis MCP Server provides functions for querying researchers' co - authors and extracting research keywords. It integrates multiple data sources and supports asynchronous and efficient processing.

MCP TAVILY SEARCH is a service based on the Model Context Protocol (MCP) that provides search functionality through Tavily. It supports quick installation and configuration, can be run via the command line or Docker, and provides debugging tools. The main functions include news search, supporting parameter configuration such as keywords, time ranges, and quantity limits.

The Crossref MCP Server is a bridge service that connects AI assistants with the Crossref academic database through the Model Context Protocol (MCP), supporting the search for papers, acquisition of metadata, and information on journals and funding agencies by DOI, title, or keywords.

A movie server based on the FastMCP protocol, supporting searching for movie titles by keywords and obtaining the latest movie information.

The SEO Review Tools MCP server provides a natural language interaction method for LLM and AI tools through the Model Context Protocol (MCP), integrating massive SEO data interfaces, including over 3.1T backlinks, 7B+ keywords and other resources.

The Crossref MCP Server is a bridge service that provides academic paper metadata search for AI assistants through the Model Context Protocol (MCP). It supports retrieving information on academic literatures, journals, and funding institutions in the Crossref database by DOI, title, or keywords.