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  • MCPs
  • Hacker News MCP Server

    Hacker News MCP Server

    An MCP server for accessing and analyzing Hacker News stories, comments, and users.

    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
  • melrose-mcp

    melrose-mcp

    An MCP server for generating and playing programmable music via Melrōse.

    melrose-mcp is a Model Context Protocol (MCP) server that enables users to compose and perform music using the Melrōse programming language. It facilitates communication between AI models and the Melrōse tool, allowing for dynamic manipulation of tempo, playback, and MIDI configuration. The project supports various tools for controlling musical expression and can be integrated into client applications such as Claude Desktop.

    • ⭐ 7
    • MCP
    • emicklei/melrose-mcp
  • Trieve

    Trieve

    All-in-one solution for search, recommendations, and RAG.

    Trieve offers a platform for semantic search, recommendations, and retrieval-augmented generation (RAG). It supports dense vector search, typo-tolerant neural search, sub-sentence highlighting, and integrates with a variety of embedding models. Trieve can be self-hosted and features APIs for context management with LLMs, including Bring Your Own Model and managed RAG endpoints. Full documentation and SDKs are available for streamlined integration.

    • ⭐ 2,555
    • MCP
    • devflowinc/trieve
  • @dealx/mcp-server

    @dealx/mcp-server

    MCP server enabling LLMs to search and interact with the DealX platform.

    Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.

    • ⭐ 0
    • MCP
    • DealExpress/mcp-server
  • MCP OpenNutrition

    MCP OpenNutrition

    Provides local, privacy-preserving access to a comprehensive food and nutrition database via the Model Context Protocol.

    MCP OpenNutrition is a Model Context Protocol (MCP) server offering access to a large, authoritative nutrition database with over 300,000 food items sourced from trusted public datasets. It enables searching by name, browsing, detailed nutritional lookups by ID, and barcode scanning, all running locally for privacy and low latency. The tool is designed for seamless integration with AI systems that follow the MCP standard, such as Claude/Cline, to enhance food and nutrition query capabilities.

    • ⭐ 134
    • MCP
    • deadletterq/mcp-opennutrition
  • Dappier MCP Server

    Dappier MCP Server

    Real-time web search and premium data access for AI agents via Model Context Protocol.

    Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

    • ⭐ 35
    • MCP
    • DappierAI/dappier-mcp
  • OpenAI WebSearch MCP Server

    OpenAI WebSearch MCP Server

    Intelligent web search with OpenAI reasoning model support, fully MCP-compatible.

    OpenAI WebSearch MCP Server provides advanced web search functionality integrated with OpenAI's latest reasoning models, such as gpt-5 and o3-series. It features full compatibility with the Model Context Protocol, enabling easy integration into AI assistants that require up-to-date information and contextual awareness. Built with flexible configuration options, smart reasoning effort controls, and support for location-based search customization. Suitable for environments such as Claude Desktop, Cursor, and automated research workflows.

    • ⭐ 75
    • MCP
    • ConechoAI/openai-websearch-mcp
  • Gopher & Gemini MCP Server

    Gopher & Gemini MCP Server

    A modern Model Context Protocol server for AI-driven exploration of Gopher and Gemini resources.

    Gopher & Gemini MCP Server provides a secure and efficient bridge for AI assistants to interact with resources on vintage Gopher and modern Gemini protocols using the Model Context Protocol (MCP) standard. It is built with FastMCP, delivers structured JSON responses optimized for LLMs, and supports comprehensive protocol coverage with advanced security and performance features. The server implements robust safeguards, certificate validation, and works cross-platform with modern Python tooling.

    • ⭐ 4
    • MCP
    • cameronrye/gopher-mcp
  • Google News MCP Server

    Google News MCP Server

    A Model Context Protocol server providing Google News search with smart categorization and multi-language support.

    Implements a Model Context Protocol (MCP) server that integrates with SerpAPI to deliver advanced Google News search capabilities. Automatically categorizes news results, supports various languages and regions, and provides multiple search options such as query-based and topic search. Features robust error handling and flexible response types to suit diverse application needs.

    • ⭐ 93
    • MCP
    • ChanMeng666/server-google-news
  • ArXiv MCP Server

    ArXiv MCP Server

    Seamless AI access to arXiv papers via MCP interface

    ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.

    • ⭐ 1,863
    • MCP
    • blazickjp/arxiv-mcp-server
  • Clojars MCP Server

    Clojars MCP Server

    Fetch and manage Clojars dependency data via MCP for Claude and other AI tools.

    Clojars MCP Server is a Model Context Protocol (MCP) server that enables tools like Claude to fetch up-to-date dependency information from Clojars, the Clojure community artifact repository. It provides standardized MCP tools to retrieve the latest versions of dependencies, check if specific versions exist, and access version histories. Designed for easy integration with AI coding assistants, it supports direct installation and seamless connectivity to Claude via MCP settings.

    • ⭐ 5
    • MCP
    • Bigsy/Clojars-MCP-Server
  • MCP Server for the RAG Web Browser Actor

    MCP Server for the RAG Web Browser Actor

    Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.

    Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.

    • ⭐ 194
    • MCP
    • apify/mcp-server-rag-web-browser
  • NYTimes Article Search MCP Server

    NYTimes Article Search MCP Server

    Search New York Times articles via a Model Context Protocol server.

    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
  • MCP Simple PubMed

    MCP Simple PubMed

    AI-accessible PubMed server with structured XML output

    MCP Simple PubMed is a server implementing the Model Context Protocol (MCP) that enables AI models to access PubMed articles via the Entrez API. It provides capabilities for searching the PubMed database, retrieving article abstracts, and downloading full text for open access articles. The server returns articles in an XML format optimized for AI consumption, preserving document structure. Installation is available via Smithery or pip, and integration with tools like Claude Desktop is supported.

    • ⭐ 141
    • MCP
    • andybrandt/mcp-simple-pubmed
  • mcp-simple-arxiv

    mcp-simple-arxiv

    MCP server to search and retrieve arXiv scientific papers for LLM clients.

    mcp-simple-arxiv is an MCP-compliant server that enables language model clients to search and retrieve metadata, abstracts, and links for arXiv scientific papers. It can be run locally or as a network-accessible web service, facilitating seamless integration with desktop LLM clients like Claude Desktop. The server adheres to arXiv API guidelines, supports both stdio and web deployment modes, and is designed for easy installation through pip or Smithery. Users can perform detailed searches, view paper summaries, and access available formats directly from their preferred AI clients.

    • ⭐ 164
    • MCP
    • andybrandt/mcp-simple-arxiv
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