"A server for finding information about GEO (Geography, Geolocation, or related topics)" matching MCP servers:

GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.

OSM-backed multimodal navigation MCP server enabling geocoding, route planning, POI discovery, and urban layout analysis. It provides a structured city graph to LLM apps without proprietary map APIs.

MCP server for a fictional learning platform, providing tools to list technologies, search learning tracks, generate coding challenges, and issue certificates.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

MCP server for generating interactive 3D Earth visualizations with annotated news from multiple global sources.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Enables AI Engine Optimization (AEO) and Generative Engine Optimization (GEO) audits, including llm.txt compliance, content stickiness analysis, and schema validation through natural language.

Enables AI assistants to list learning tracks, retrieve study plans, generate coding challenges, and issue fictional completion certificates through the Model Context Protocol.

MCP server that lets AI clients drive the dfxm-geo dark-field X-ray microscopy forward model, enabling config validation, reflection enumeration, and preview-scale simulations.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Evaluates any website's AI visibility with 15 checks across crawlability, structure, content, and connectivity, and provides actionable fixes.

Enables AI agents to query airport information and calculate Great Circle distances between global airports using IATA codes, following the FFP industry standard in statute miles.

Enables geospatial operations such as geocoding, routing, map visualization, satellite imagery, and weather data through a unified MCP interface, making Earth data accessible to non-programmers.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.