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Clash Royale MCP Server

MCP Server

FastMCP powered Clash Royale API tools for AI agents

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Updated Sep 16, 2025

About

A Python FastMCP server exposing real‑time Clash Royale data—players, clans, cards, and rankings—to enable AI agents to interact with the game via model‑context protocols.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Chat Royale Demo

Overview

Chat Royale is a fully‑functional MCP server that brings real‑time Clash Royale data into AI assistants. By exposing a suite of game‑specific tools—Players, Clans, Cards, and Rankings—the server removes the need for developers to write custom API wrappers or handle authentication. Instead, AI models can query live game information through a simple, standard MCP interface and receive structured JSON results that can be used in downstream logic or displayed directly to users.

The MCP server is built on Python 3.12 and FastMCP, which makes tool discovery effortless for the client. Each tool corresponds to a specific endpoint in the official Clash Royale API, and the server automatically handles rate‑limiting, caching, and error translation. This abstraction allows AI assistants to ask nuanced questions like “Who is the top player in my clan?” or “What cards are most popular in the current season?” and receive concise, machine‑readable answers without any manual parsing.

For developers building AI‑powered game companions or analytics dashboards, the server offers several key advantages:

  • Zero‑configuration API access – No need to manage OAuth tokens or endpoint URLs; the MCP client simply calls and receives a ready‑to‑use tool list.
  • Rich data retrieval – Tools expose nested objects (e.g., card stats, player trophies) that can be directly embedded in responses or visualized.
  • Seamless integration with OpenAI – The accompanying Node.js backend demonstrates how to connect the MCP server to Gemini 2.0, orchestrate iterative tool calls, and return a polished chat response.
  • Scalable deployment – The Docker‑based stack runs on AWS Lightsail with Cloudflare CDN, ensuring low latency for global users.

Typical use cases include:

  • Live match assistants that provide instant stats and strategy tips during gameplay.
  • Clan management bots that automatically announce new members, track trophy progress, or generate weekly reports.
  • Analytics dashboards for e‑sports teams or community leaders to monitor card usage trends and player performance.
  • Educational tools that teach new players about game mechanics by querying real data.

By turning the Clash Royale API into a set of discoverable, AI‑friendly tools, Chat Royale empowers developers to build sophisticated, data‑driven experiences without wrestling with third‑party SDKs or manual API handling.