Enables querying the DuckDuckGo Instant Answer API through the Model Context Protocol, allowing users to perform searches and retrieve instant answers.
Enables integration with DuckDuckGo search capabilities for LLMs, supporting comprehensive web search, regional filtering, result types, and safe browsing with caching and customizable search parameters.
Enables multi-engine parallel search with cross-validation, combining Brave, Tavily, DuckDuckGo, Wikipedia, Bing, and Mojeek, and labeling results with confidence levels based on engine agreement.
A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.
MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.
An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.
Full-text search across all ~10,000 current Japanese laws and regulations (official e-Gov data): keyword search, table of contents, and exact article text.
attendance-engine-mcp is a Model Context Protocol server that gives AI agents
deterministic, fixture-backed tools for workforce attendance and wage-and-hour
compliance. Built on @attendance-engine/core — a pure-function, zero-deps,
100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP
host correctly answer the questions HR/payroll teams actually ask: did this
person clock i
An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.
Provides unified web search across multiple providers (Google, Tavily, DuckDuckGo, Brave) with automatic fallback, maximizing free API quota usage for AI workflows.