MCP Servers

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researchers who need their AI systems to find vetted tools and libraries while minimizing the risk of hallucinations or outdated information.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.

RSS Reader (MCP) is an open-source Model Context Protocol server that allows AI assistants like Claude to browse, fetch, and read RSS feeds directly. It bridges the gap between static LLMs and real-time news by extracting full article content into clean, AI-friendly Markdown.

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.

NPM Sentinel is a Model Context Protocol (MCP) server that grants AI assistants like Claude real-time access to the NPM registry for package auditing. It is a specialized tool for developers that enables instant security, performance, and dependency analysis directly within an AI chat interface, eliminating the risk of data hallucinations.

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.

Weather MCP is an open-source server built on Anthropic’s Model Context Protocol that provides AI agents with real-time weather and air quality data. It is designed for developers using LLM clients like Claude Desktop or Cursor who need a zero-configuration way to give their AI "eyes" on the physical world. Its primary differentiator is the use of the Open-Meteo API, which allows for immediate data retrieval without the friction of API key registration.

Polymarket MCP is a specialized data connector that bridges real-time prediction market data with AI agents like Claude and Cursor. It is designed for analysts and traders who want to use natural language to query market sentiment, liquidity, and probability trends without manual data scraping.

Math-MCP is an open-source Model Context Protocol (MCP) server that provides LLMs with a suite of deterministic mathematical and statistical tools. It is designed for developers and AI power users who need to eliminate calculation errors in AI workflows by offloading arithmetic to a reliable Python-based backend.

Paper Search is an open-source Model Context Protocol (MCP) server that enables AI agents to search, fetch, and extract full text from major academic repositories like arXiv, PubMed, and Google Scholar. It is designed for researchers and developers who want to ground AI-driven literature reviews in verified scientific data rather than model training data.

AKShare One MCP connects AI agents to a massive library of Chinese financial data using the Model Context Protocol (MCP). It allows users to query real-time stock prices, financial statements, and market news directly within an LLM chat interface like Claude. Its key differentiator is providing free, comprehensive access to the Chinese market without the credit-based restrictions common in professional data APIs.

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.

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.

Lotus Wisdom is an open-source Model Context Protocol (MCP) server that transforms AI assistants into contemplative reasoning partners using a framework inspired by the Lotus Sutra. It is designed for researchers and deep thinkers who need to navigate complex, multi-perspective problems where standard linear logic often reaches a stalemate. Its key differentiator is a structured "wisdom journey" that incorporates meditative pauses and non-dual integration into the AI's cognitive process.

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.

YouTube MCP is an open-source connector that allows AI models like Claude to browse YouTube, retrieve timestamped transcripts, and analyze channel metadata directly. It is designed for researchers and power users who want to query video content without leaving their AI chat interface. Its key differentiator is the high-precision retrieval of multilingual transcripts and granular engagement statistics.

Saju Insights is an open-source web application that provides comprehensive Korean Four Pillars (Saju) readings, ranging from daily fortunes to 10-year luck cycles. It is designed for astrology enthusiasts seeking personalized metaphysical guidance and stands out by offering advanced customization across different traditional schools of interpretation for free.

FrankfurterMCP is a Python-based Model Context Protocol (MCP) server that enables AI agents to access real-time and historical currency exchange rates. It serves as both a functional financial tool and a best-practices template for developers looking to build their own servers using the FastMCP framework.

Exa Websets is an AI-powered data discovery tool that builds automated, self-updating collections of companies, people, and research. Designed for GTM teams and researchers, its key differentiator is a "neural" search engine that retrieves results based on semantic meaning rather than just keywords.

NGSS Standards Explorer is an open-source Model Context Protocol (MCP) server that provides AI models with direct access to the Next Generation Science Standards. It is designed for educators and curriculum developers who use AI to generate lesson plans, ensuring that the resulting content is accurately aligned with specific SEPs, DCIs, and CCCs.

Gahmen-mcp is an open-source Model Context Protocol (MCP) server that connects AI models like Claude to Singapore’s official open data portals. It allows developers and data analysts to search, retrieve, and download government datasets using natural language rather than manual API calls. Its primary differentiator is its seamless bridge between the CKAN-based data.gov.sg infrastructure and modern LLM interfaces.