MCP Servers

Saju Insights is an open-source Model Context Protocol (MCP) server that enables AI agents to perform complex Korean Four Pillars of Destiny (Saju) calculations. It serves as a specialized bridge for LLMs, providing accurate birth charts, 10-year luck cycles, and relationship compatibility data that standard AI models cannot calculate natively.

FrankfurterMCP is a Model Context Protocol (MCP) server that provides Large Language Models (LLMs) with real-time and historical currency exchange data via the Frankfurter API. It serves as both a functional tool for currency conversion and a template for developers building Python-based MCP servers using the FastMCP framework.

Lotus Wisdom is an MCP (Model Context Protocol) server that implements a contemplative reasoning framework inspired by the Lotus Sutra. It is designed for researchers and strategists to guide AI through non-linear "wisdom journeys" to solve complex, paradoxical problems where traditional logic fails. Its key differentiator is the integration of meditative pauses and specific meta-cognitive domains into the AI's internal reasoning loop.

RSS Reader by kwp-lab is a Model Context Protocol (MCP) server that enables AI agents, specifically Anthropic's Claude, to subscribe to and read RSS feeds. It allows LLMs to fetch live news entries and extract clean article content in Markdown format for real-time analysis. It is primarily for developers building agentic workflows that require automated information monitoring.

Weather MCP is a free, open-source Model Context Protocol (MCP) server that grants AI agents real-time access to global weather and air quality data without requiring an API key. Built on the Open-Meteo API, it serves as a lightweight, 'no-friction' utility for developers to add environmental context to LLMs like Claude and Cursor.

Polymarket is the world's leading decentralized prediction market, allowing users to trade on the outcomes of global events ranging from politics to sports using USDC on the Polygon blockchain. It serves as a real-time 'truth engine' for analysts and traders, leveraging financial incentives to provide more accurate forecasts than traditional polling. Its key differentiator is its massive liquidity and transparent, on-chain settlement that bypasses traditional bookmakers.

Context Awesome is a specialized knowledge retrieval tool that connects AI agents to a massive database of over 8,500 community-curated "awesome" lists from GitHub. It is designed for developers and researchers who need their AI systems to find vetted tools and libraries while minimizing the risk of hallucinations or outdated information. Its key differentiator is the high signal-to-noise ratio of its data, which relies on expert-curated repositories rather than unfiltered web scrapes.

Next.js Tailwind Assistant is an open-source Model Context Protocol (MCP) server that provides AI agents with real-time access to Next.js 15+ and Tailwind CSS documentation. Designed for developers using AI-first IDEs like Claude or Cursor, it differentiates itself by offering pre-indexed Catalyst UI components and professional design patterns directly to the LLM's context.

Web Scout is a free, privacy-focused MCP server that enables AI assistants to perform web searches and extract clean webpage content without requiring paid API keys. It serves as a lightweight bridge for developers using tools like Claude Desktop or Cursor to provide their AI agents with real-time internet access via DuckDuckGo.

Paper Search is an open-source Model Context Protocol (MCP) server designed to give AI agents direct access to global academic repositories. It enables researchers to search, retrieve metadata, and extract full-text content from sources like arXiv and PubMed through a unified interface. Its key differentiator is the support for eight simultaneous academic platforms, streamlining the transition from discovery to deep analysis within LLM workflows.

AKShare One MCP is an open-source server that bridges the popular AKShare Python library with AI agents using the Model Context Protocol (MCP). It allows LLMs like Claude and Cursor to natively query real-time and historical Chinese financial data, news, and statements. It differentiates itself by providing a turnkey, standardized interface for the vast but complex Chinese market data ecosystem.

NGSS Standards Explorer is a specialized Model Context Protocol (MCP) server that provides AI agents with structured access to the Next Generation Science Standards. It is designed for educators and developers to help AI models navigate complex three-dimensional science frameworks (SEPs, DCIs, and CCCs) for curriculum planning and standards alignment.

Math MCP by Ethan Henrickson is an open-source tool that provides AI agents with a suite of deterministic mathematical functions via the Model Context Protocol. It allows LLMs to offload complex arithmetic, statistics, and trigonometry to a reliable local server, eliminating common reasoning hallucinations. It is a key utility for developers building agentic workflows in environments like Claude Desktop.

Danbooru Tags is a specialized Model Context Protocol (MCP) server that allows AI assistants to query the Danbooru database for image tags, character traits, and wiki context. It is designed for AI artists and prompt engineers who need precise metadata to maintain character consistency in diffusion models. Its key differentiator is its ability to perform frequency-based tag analysis directly within an LLM chat interface.

An open-source Model Context Protocol (MCP) server that provides AI agents with seamless access to Singapore's official open data portal, data.gov.sg. It is designed for developers and AI users who need to ground their LLMs in real-time Singaporean datasets such as weather, transport, and property prices. The key differentiator is its implementation of the MCP standard, which allows instant 'plug-and-play' integration with AI tools like Claude Desktop and Cursor.

YOKATLAS MCP is an open-source server that allows AI assistants to query the official Turkish Higher Education Atlas (YÖK Atlas) database. It is designed for developers and students who want to integrate structured Turkish university and program data directly into Large Language Models like Claude.

NPM Sentinel is an AI-native Model Context Protocol (MCP) server that provides real-time security, dependency, and performance intelligence for NPM packages. It is specifically designed for developers using AI agents like Claude to automate the vetting and auditing of software libraries directly within their coding workflows.

Macrostrat-MCP is a specialized Model Context Protocol server that connects AI models to the vast Macrostrat geological database, enabling natural language queries about bedrock and stratigraphy. It is designed for geoscientists and developers who need to integrate high-fidelity geological context into AI-driven research workflows. Its primary differentiator is the ability to bridge complex, coordinate-based earth science data with conversational AI agents.

Exa Websets is an AI-native research and data enrichment engine designed to build structured, verified collections of companies, people, and research papers from the live web. Unlike traditional keyword-based scrapers, it uses neural search to understand complex natural language queries and automatically enriches results with custom data points like CEO names or funding stages.

YouTube-MCP is a Model Context Protocol server that allows AI agents like Claude to interact directly with YouTube content, including searching videos and fetching deep metadata. It is primarily for researchers and developers who need to perform automated video analysis, summarization, and RAG (Retrieval-Augmented Generation) without manual copy-pasting. Its key differentiator is the ability to retrieve timestamped, multilingual transcripts natively within an AI's context window.