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This project provides a Model Context Protocol (MCP) server for searching patients in the Flight Health Atlas system and creating a new task.

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A web-based search interface using DuckDuckGo's search API, built with Python and Gradio.

A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language. This tool provides a set of capabilities for searching Splunk data, managing KV stores, and accessing Splunk resources through an intuitive interface.

A comprehensive calculator and search engine implemented as a Model Context Protocol (MCP) server using TypeScript.

This package provides an MCP server that exposes a tool to search the Glama MCP registry for MCP servers matching a query string. See Glama.ai MCP Registry for additional information.

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This package provides an MCP server that exposes a tool to search the Glama MCP registry for MCP servers matching a query string. See Glama.ai MCP Registry for additional information.

Semantic search backend using TypeScript, PostgreSQL with the pgvector, and MCP for AI assistant integration.

This project implements an MCP (Model Context Protocol) server designed to provide documentation search and retrieval capabilities. It uses the Serper API for Google search results and scrapes official documentation websites for detailed content.

A Model Control Protocol (MCP) server for SearXNG, allowing AI assistants to search the web through a SearXNG instance.

This is an MCP (Model Context Protocol) server that provides tools for searching the web using the Brave Search API.

Enable fast, free real-time web search and access premium data from trusted media brandsnews, financial markets, sports, entertainment, weather, and more. Build powerful AI agents with Piece.

A Model Context Protocol (MCP) server lets clients like Claude or Cursor use the Desearch AI for real-time AI X search and web search.

A lightweight, open-source toolkit that enables Claude to search Twitter efficiently with natural language and display results based on user intent. Designed for both raw data viewing and optional analysis.

This project implements a Model Context Protocol (MCP) server that provides tools for web searching and content processing. It leverages the Brave Search API for web searches, fetches web page content, converts it to Markdown, and uses an AI assistant (powered by OpenAI) to trim content based on relevance to a given context, to reduce context usage.

A modular MCP server for searching flights using the Duffel API. Built for extensibility, maintainability, and clarity.

This application uses Google's Agent Development Kit (ADK) with Multi-Channel Platform (MCP) toolsets to search for services like Airbnb accommodations. It features a Streamlit web interface for an enhanced user experience.

A Model Context Protocol (MCP) server that allows searching the web using DuckDuckGo. This package provides an easy way to integrate DuckDuckGo search functionality into your Python applications and LLM workflows.

A Model Context Protocol (MCP) server that provides search functionality for any MkDocs powered site. This server relies on the existing MkDocs search implementation using the Lunr.Js search engine.

An MCP Server for blog search functionality developed /w Deno!

An MCP server that queries public SearXNG instances, parsing HTML contents into a JSON result

Welcome to search-mcp! This is a personal Model Context Protocol (MCP) server designed to provide a suite of powerful search and data retrieval tools. It's built with TypeScript and leverages the MCP SDK for seamless integration with AI agents or other MCP-compatible clients.

PiTools MCP brings real-time web search and more tools directly into your AI agent or coding assistant. Just add use pitools to your prompt in Cursor or any MCP-compatible client:

Compatible with Cline, Cursor, Claude Desktop, and any other MCP Clients!

Give Claude access to real-time knowledge and premium content. Get rid of Claude's cutoff data and transform Claude's responses with current events, and trusted, premium sources through Linkup's powerful search capability.

This MCP (Model Context Protocol) server allows you to search for books on LibGen (Library Genesis) and attempt to download them directly to your computer's Downloads folder.

An MCP server for web search using DuckDuckGo and content extraction, with support for multiple URLs and memory optimizations.

An MCP (Model Context Protocol) server that provides web search functionality using the Brave Search API.

search two house picture from unsplash and write to the document

A MCP server for fetching and searching 3rd party package documentation.

A simple MCP (Model Context Protocol) server that provides web search functionality using the Perplexity API. This server allows Claude or other MCP-compatible AI assistants to search the web and get up-to-date information.

A Model Context Protocol (MCP) server for searching and retrieving Wikipedia articles.

A collection of Model Context Protocol (MCP) servers that integrate with SerpAPI and YouTube to provide search capabilities and data retrieval for AI assistants.

A Model Context Protocol (MCP) server for searching barnsworthburning.net.

A simple MCP (Model Context Protocol) server that provides tools for searching and retrieving information from YouTube videos. This server can be used with AI assistants that support the MCP protocol.

Node.js server implementing Model Context Protocol (MCP) for DuckDuckGo web search.

A specialized Model Context Protocol (MCP) server for full-text search within a filesystem, built with Rust.

The MCP Lucene Server is a Java-based implementation of the Model Context Protocol (MCP) designed to provide efficient search and retrieval capabilities using Apache Lucene. This server allows you to manage and query documents, leveraging Lucene's powerful indexing and search features. It is built using Spring Boot for easy setup and deployment.

This package exists to provide a unified MCP (Model Context Protocol) interface for multi-provider web search. It allows you to leverage the free monthly quota given by multiple search services (such as Google and Tavily) by automatically falling back between them, maximizing your available search capacity for automation and AI workflows.

This is a simple MCP server that allows you to search for and play tracks on YouTube Music directly from your AI assistant like Cursor or Claude Desktop.

Unofficial, experimental MCP server for HexDocs, based in the search API.

A thin MCP server built on top of the daftlistings library to search for rental properties on daft.ie using an MCP client. It exposes a tool, find_rental_properties, which can be used to find properties based on criteria such as location, maximum price, number of bedrooms, search radius, and property type.

MCP server that exposes Brave Web Search API. Uses STDIO approach.

The MCP searchengine for DARP.

Intelligent multi-provider search aggregation server built on FastMCP 2.0

A powerful Streamlit-based web agent powered by MCP Agent + Puppeteer + OpenAI, capable of browsing websites, performing actions like clicking and scrolling, extracting and summarizing content, and capturing screenshots all through natural language commands.

This project provides a Model Context Protocol (MCP) server for searching, retrieving, and downloading information about research papers from arXiv.org.

The YaCy Grid is the second-generation implementation of YaCy, a peer-to-peer search engine. A YaCy Grid installation consists of a set of micro-services which communicate with each other using a common infrastructure for data persistence. The required storage functions of the YaCy Grid are:

MCPCursorClaude Desktop

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MCP Server for searching land plots and prefab homes, enabling Claude to find properties based on natural language queries about price, size, and nearby amenities.

A MCP server implementation to search Swift Evolution.

A research tool that combines the Model Context Protocol (MCP) with Brave Search, Tavily Search, etc. to achieve research capabilities equivalent to (or aiming to be equivalent to) ChatGPT's DeepResearch.