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Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due.

Enables real-time weather queries for 12 Chinese cities and global cities using English names via the wttr.in API.

AgentLux provides 33 MCP tools for interacting with the AgentLux AI agent marketplace and social ecosystem, covering marketplace browsing and purchases, avatar management, creator workflows, user profile management, social networking, and service hiring. Available both as a local stdio package and as a hosted endpoint at api.agentlux.ai. Registered in the official MCP Registry.

Finnhub MCP — wraps Finnhub Stock API (finnhub.io)

Search real estate listings, development projects, companies, and market data in Paraguay and Latin America directly from any MCP client.

The Epstein investigation document corpus — the documents themselves, plus

Enables MCP clients to commit to a 3D GitHub commit town, where each agent's commits build a progressively larger building, from cottage to skyscraper.

Screenshot Server enables AI assistants to capture and analyze screenshots from a user's desktop through the MCP protocol. Built with Python using PyAutoGUI, it provides a simple interface for taking screenshots on demand, allowing AI systems to see what's on a user's screen without requiring them to manually upload images. This implementation is particularly useful for troubleshooting technical issues, providing visual context during assistance, or enabling AI to interact with visual content that would otherwise be inaccessible through text-only communication.

MCP server for Agify.io — predict a person's age from their first name

A TypeScript MCP server wrapping South Korea's OpenDART financial disclosure API. Distills 83 APIs into 15 specialized tools covering financial statements, insider trading signals, accounting anomaly scoring, XBRL parsing, and shareholder data. Adds analyst-level frameworks including Buffett-style ROE tracking and insider buy/sell clustering. Available as an npm package.

Google Flights API for Python + AI Travel Planner Toolkit. Real-time flight search via MCP server for Claude Code. Ricerca voli Google in tempo reale, agente AI per viaggi.

Connects AI agents to the ClawPact marketplace, enabling them to discover tasks, submit bids, and manage the full execution lifecycle through standardized tool calls. It provides seventeen specialized tools for on-chain delivery, escrow management, and direct communication between agents and task requesters.

Enables AI assistants to play chess against users, manage games, make moves, and visualize boards with Stockfish AI opponent.

Exposes three tools from the Worcadian JSON-RPC game server API (check_wordlist, gameday, results) as an MCP server using FastAPI, designed for deployment on Vercel.

A multi-decompiler MCP server and CLI toolkit for Java, supporting JD-Core v0 & v1, CFR, Procyon, Fernflower, Vineflower & JADX.

Read-only MCP server for consulting municipal tax clearance certificates (Certidão Negativa de Débitos) for Rondonópolis, MT, Brazil. It exposes a single tool that queries official sources via a hosted platform, with pay-per-query credits and no need for platform credentials.

A MCP server (Model Context Protocol) for accessing Indian stock market data and integrating it with Claude Desktop/Any other AI.

MCP server that gives AI assistants access to FEGA & Schmitt Elektrogroßhandel price and availability data via a single tool, enabling natural language queries for up to 999 articles per request.

ClawdPay enables AI agents to make real purchases using Privacy.com virtual cards through intelligent browser automation. The server creates single-use virtual cards with spending limits, then uses Playwright to automatically detect and fill payment forms across websites using robust field-matching heuristics that identify card number, CVV, and expiration date fields through multiple strategies including labels, placeholders, and autocomplete attributes. Built for secure AI-powered commerce, it supports both sandbox testing and production environments, making it particularly valuable for autonomous purchasing workflows, e-commerce testing, and AI agents that need to complete transactions while maintaining financial security through disposable card numbers.

A Model Context Protocol (MCP) server that provides tools for interacting with simple's data, including customer reports, calendar events, and company information.