Parallel Search

DuckDuckGo

Experience fast and reliable DuckDuckGo web search with this TypeScript MCP server. It offers a simple search interface supporting customizable queries, result counts, and safe search levels. Built-in rate limiting ensures fair usage with up to 1 request per second and 15,000 per month. The server returns well-formatted Markdown results, making it easy to integrate and display search data. Designed to demonstrate core Model Context Protocol concepts, it also includes helpful debugging tools to inspect communication. Perfect for developers wanting seamless DuckDuckGo integration via MCP with efficient error handling and robust controls.

Microsoft Docs

Official Remote

Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.

Brave Search

Official

Integrate web search and local search capabilities with Brave. Brave Search allows you to seamlessly integrate Brave Search functionality into AI assistants like Claude. By implementing a Model Context Protocol (MCP) server, it enables the AI to leverage Brave Search's web search and local business search capabilities. It provides tools for both general web searches and specific local searches, enhancing the AI assistant's ability to provide relevant and up-to-date information.

Enables AI to perform web searches with customizable parameters including freshness filters, domain controls, and result summarization for retrieving up-to-date information from the internet.

Exa Search

Official

Empower AI assistants like Claude with real-time web data using the Exa MCP Server. This Model Context Protocol server connects AI models to the Exa AI Search API, enabling safe, up-to-date web searches across diverse tools such as academic papers, company data, LinkedIn, Wikipedia, GitHub, and more. Its flexible toolset enhances research, competitor analysis, and content extraction, providing comprehensive information for smarter AI interactions. Designed for seamless integration with Claude Desktop, the Exa MCP Server boosts AI capabilities by delivering fast, reliable, and controlled access to the latest online information.

Research topics using Google search and web scraping.

Integrates with Airbnb to enable vacation rental search and detailed property information retrieval without requiring API keys

Automates parallel Google searches with intelligent CAPTCHA detection, browser state persistence, and user behavior simulation to bypass anti-bot measures while returning structured results.

Perplexity

Official

Unlock real-time, web-wide research for Claude with Sonar API integration via MCP. Perplexity Ask MCP Server enables natural-language queries by connecting Claude to Perplexity’s Sonar, bringing fresh internet search capabilities directly into your AI workflows. The system is designed for easy expansion and can also be used with compatible apps like Cursor. Ideal for users seeking accurate, up-to-date information in conversational settings, the server’s flexible architecture empowers seamless integration of advanced research tools with your favorite AI platforms.

Provides web search capabilities through DuckDuckGo, enabling content retrieval, URL processing, and metadata extraction with customizable filtering options

Enables AI assistants to search the web in real-time through OpenAI's websearch functionality, retrieving up-to-date information beyond training data cutoffs with configurable search parameters.

Provides web search capabilities through a lightweight server that connects to OpenAI's or OpenRouter.ai's search-enabled models with minimal setup requirements.