"Aviator casino game information" matching MCP servers:

Chess and Card Game Arena For LLM

A Model Context Protocol implementation that enables AI agents to retrieve game data from OP.GG for League of Legends, Teamfight Tactics, Valorant, and esports through function calling.

A Model Context Protocol server that enables Claude Desktop to play the classic Lemonade Stand business simulation game with dynamic weather, pricing strategies, and inventory management.

A Model Context Protocol server that allows Claude to search and display Pokemon Trading Card Game cards with filtering by attributes like name, type, legality, and statistics.

Enables creation and management of structured game worlds for text adventures and RPGs with character creation, world generation, and natural language interaction through AI integration.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Enables AI agents to play and interact with Minecraft servers through mineflayer, providing automated actions like mining, movement, crafting, and real-time game event monitoring.

Enables AI agents to control Minecraft bots through over 30 verified skills including navigation, resource gathering, and advanced building. It allows for multi-bot management and seamless integration with MCP clients to automate complex in-game tasks.

Provides a human approval gate for AI agents, enabling interactive inline cards for approving, editing, or rejecting actions before they are executed.

Integrates live Screeps game data into AI development workflows, providing comprehensive tools for room operations, market analysis, and user management. It enables AI agents to monitor game status and interact with the game world through the Model Context Protocol.

Enables AI agents to control Minecraft bots via natural language commands by bridging a Python MCP server with a Node.js Mineflayer bridge. It supports a wide range of in-game actions including complex pathfinding, resource gathering, crafting, and combat.

Enables AI agents to drive a real, already logged-in browser from the CLI or over MCP, with enforceable approval gates for actions and safeguards against prompt injection.

Enables read-only access to Pocket Agent's product information, public persona templates, and app catalog. No authentication required.

Enables AI models to access user geolocation information through EdgeOne Pages Functions, allowing location-aware AI interactions.

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

An interface enabling high-frequency communication between AI tools (like Cursor and Windsurf) and users, allowing for option selection and information gathering through CLI, Web, or PyQt interfaces.

An MCP Server that provides weather information by ZIP code using Interzoid's API, allowing agents to retrieve current weather conditions based on postal codes.

Enables automated game development by orchestrating multi-agent teams (design, programming, 2D/3D art, supervision, QA) through LangGraph and an MCP gateway that drives Blender, Krita, Godot, and Git to produce runnable game builds.

An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.

Human-in-the-loop approval gate for MCP agents, classifying tool calls by risk and requiring Slack-based human approval for medium/high risk actions.