Web Search MCP Repositories

Fetch real-time information from the web, extract content from webpages, and track research sessions with the ability to capture screenshots for better insights.

Integrates Jina.ai's Reader API for efficient web content extraction, enabling analysis and processing of documentation and web content.

Integrate with medRxiv's preprint repository to search for and access health sciences research papers and their metadata via a standardized interface. Enables efficient querying and retrieval of paper details based on custom search parameters and DOI.

Provides real-time web search capabilities to retrieve up-to-date information from the internet using the WebSearch Crawler API, enabling AI assistants to access the latest web content.

Fetch and manage RSS feeds with caching and filtering capabilities. Integrates seamlessly with LLMs to provide access to the latest articles from various sources.

Poke-MCP provides a standardized interface for accessing Pokémon information through the PokeAPI. It enables querying specific Pokémon details, discovering random Pokémon, and retrieving Pokémon based on their types or regions.

Enable autonomous coding assistance within an IDE, facilitating file creation and editing, running terminal commands, and interactive debugging through a browser, all while managing user permissions. Extend functionality via custom tools using the Model Context Protocol (MCP) to automate and streamline software development tasks.

Tracks and analyzes trending models, datasets, and spaces on Hugging Face, providing tools to fetch and search for content. Enables trend analysis to help users stay informed about the latest developments in AI resources.

Access Valyu's knowledge retrieval and feedback APIs to search proprietary and web sources for information and submit transaction feedback. Provides real-time insights and enhances LLM capabilities through dynamic user interaction.

Provides detailed geolocation information for any IP address, including network data, ISP, and timezone details. No API key or registration is required for access.

Manage image metadata to improve macOS Spotlight search functionality by adding tags, descriptions, people, and location data to JPG, PNG, and HEIC images through a standard MCP interface over Stdio.

Enables searching for MCP server implementations through the filtering of results by name, description, or tags. Facilitates streamlined exploration of available MCP servers by allowing users to limit search results.

Search YouTube videos and save results to Google Sheets with structured data including video title, URL, channel name, and publish date.

Provides DuckDuckGo search functionality with a simple interface for performing web searches. Supports rate limiting and error handling while integrating with the DuckDuckGo API.

Extract structured data from web pages using specified prompts to identify the desired fields from a given URL. This server enables integration of real-time data insights into applications.

A Next.js project that facilitates the development and deployment of modern web applications by providing a framework optimized for performance and user experience. It features hot reloading for rapid development and built-in support for dynamic and responsive page creation.

Automates control of the Chrome browser while successfully bypassing anti-bot detection mechanisms using undetected-chromedriver. Provides a comprehensive interface for various automated web interactions.

Retrieve and parse search engine results from multiple platforms such as Google and Bing, allowing access to both live and archived data. Integrate with MCP clients for enhanced search functionalities.

Access and analyze Strava data, including activities, athlete statistics, and social interactions through a language model interface, facilitating personalized insights and performance tracking.

Integrates Jina.ai's Grounding API with language models to provide real-time web content for enhancing responses. It offers efficient web content grounding capabilities optimized for generating factual information in LLM outputs.

Connects to AI agents using self-compressed decentralized identifiers (DIDs). Facilitates interactive conversations with an AI assistant in a talk show style, featuring functionalities for DID generation and QR code display.

Generate and deploy modern static websites efficiently, with features for live reloading during development and seamless deployment to GitHub Pages or other static hosting services. Provides an extensible framework for website management and content generation.

Fetch and manage articles from various RSS feeds with features for automatic fetching, filtering, and favoriting articles. Supports importing RSS feed subscriptions via OPML files and exposes the content through an MCP API.

Access Kagi Search API for retrieving information from the web, allowing users to perform web searches and gather data from online sources.

Access real-time search engine results and data through a straightforward API. Retrieve and analyze search data from various search engines to enhance applications with powerful search capabilities.

Interact with Reddit content through AI assistance, enabling search, analysis, and retrieval of posts and comments from specific subreddits. Users can browse and analyze popular posts efficiently.

Facilitates comprehensive web searches and retrieves up-to-date information through AI-powered search capabilities, with features like result scoring, caching, and search history storage. Provides access to rich search results including titles, URLs, content snippets, and AI-generated summaries.

Integrates multiple search APIs for maps, flights, hotels, and videos through a standardized interface, enabling complex search operations via natural language queries. Offers multilingual support and customizable filtering options for enhanced search results.

Connects OpenAI agents to various tools and data sources, enabling specialized tasks such as web searching, file analysis, and computer actions. Supports coordination through a multi-agent orchestrator to enhance AI functionalities.

This utility enables large language model applications to trigger external web services asynchronously via HTTP POST requests. It functions similarly to how a search engine returns curated hyperlinks in response to a query, but here, the model initiates a specific web action. This facilitates dynamic external data fetching or state changes, enhancing AI workflow capabilities by connecting them to remote APIs.