MCPs tagged with # information retrieval

mcp-server-webcrawl provides an AI-oriented server that enables advanced filtering, analysis, and search over data from various web crawlers. Designed for seamless integration with large language models, it supports boolean search, filtering by resource types and HTTP status, and is compatible with popular crawling formats. It facilitates AI clients, such as Claude Desktop, with prompt routines and customizable workflows, making it easy to manage, query, and analyze archived web content. The tool supports integration with multiple crawler outputs and offers templates for automated routines.

• ⭐ 32
• MCP
• pragmar/mcp-server-webcrawl

G-Search MCP is a server for executing parallel Google searches optimized for use with AI tools through the Model Context Protocol. It efficiently handles multiple queries at once, simulates realistic user behavior to evade detection, and returns well-structured JSON responses. The server is configurable, supports parameter tuning like search limits and timeouts, and is designed for seamless integration in AI-driven environments such as Claude Desktop.

• ⭐ 224
• MCP
• jae-jae/g-search-mcp

Naver Search MCP Server provides a Model Context Protocol (MCP) compliant server that integrates Naver Search and DataLab APIs. It enables easy and comprehensive search across a wide range of Naver services, as well as advanced trend analysis with context-aware tools. The implementation supports Smithery platform installation, temporal context handling, and offers tools for both information retrieval and data analytics within the Naver ecosystem.

• ⭐ 45
• MCP
• isnow890/naver-search-mcp

SearXNG MCP Server implements the Model Context Protocol and integrates the SearXNG API to provide extensive web search functionalities. It features intelligent caching, advanced content extraction, and multiple configurable search parameters such as language, time range, and safe search levels. The server exposes tools for both web searching and URL content reading, supporting detailed output customization through input parameters. Designed for seamless MCP deployments, it supports Docker and NPX-based installation with rich configuration options.

• ⭐ 321
• MCP
• ihor-sokoliuk/mcp-searxng

Hacker News MCP Server implements the Model Context Protocol to provide tools for fetching and searching Hacker News stories, retrieving story comments, and accessing user information. It integrates seamlessly with AI assistants like Claude Desktop and supports use via Smithery. The server is designed for structured information retrieval, contextual exploration, and summarization of Hacker News content.

• ⭐ 55
• MCP
• erithwik/mcp-hn

NYTimes Article Search MCP Server is a TypeScript-based implementation of the Model Context Protocol that enables searching for New York Times articles from the past 30 days using keywords. It integrates with the official New York Times API and exposes a tool for streamlined article queries. Designed for use with systems like Claude Desktop, it includes support for installation via Smithery and provides development utilities such as an inspector for debugging MCP communication. The server handles MCP requests over stdio and securely accesses the NYT API via environment variables.

• ⭐ 15
• MCP
• angheljf/nyt

IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.

• ⭐ 36
• MCP
• briandconnelly/mcp-server-ipinfo

Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

• ⭐ 37
• MCP
• pinecone-io/assistant-mcp

mcp-server-qdrant provides an official implementation of the Model Context Protocol for interfacing with the Qdrant vector search engine. It enables storing and retrieving contextual information, acting as a semantic memory layer for LLM-driven applications. Designed for easy integration, it supports environment-based configuration and extensibility via FastMCP. The server standardizes tool interfaces for managing and querying contextual data using Qdrant.

• ⭐ 1,054
• MCP
• qdrant/mcp-server-qdrant