How to Use the Clash Royale Tactical Intelligence MCP in Pydantic AI
Build type-safe Clash Royale analytics bots using Pydantic AI to validate player profiles and deck stats at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clash Royale Tactical Intelligence MCP to Pydantic AI
Create your Vinkius account to connect Clash Royale Tactical Intelligence to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-Safe Deck Validation with Pydantic AI
This MCP Server uses `get_player_profile` to return structured Clash Royale deck data directly to your Pydantic AI agent. Every card level, trophy count, and win rate is validated against strict Pydantic models before your agent processes the response. If the upstream API structure changes, your agent raises a validation error immediately instead of passing corrupted deck lists. This guarantees that tools like `list_all_cards` only yield clean, expected schemas during execution.
Bulletproof Clan War Tracking
The `get_current_river_race` tool pulls real-time war standings into your Pydantic AI environment. Because the framework enforces strict typing, your agent parses player contributions and boat points without risking silent runtime failures. You track historical war performance by invoking `get_river_race_history`. The agent formats this historical data into custom Pydantic schemas, ready for immediate export or database insertion.
Verified Leaderboard and Chest Auditing
This MCP Server provides `get_upcoming_chests` to track exactly when a player will unlock their next legendary chest. Your Pydantic AI agent validates the chest queue array, ensuring the sequence integers match the game's official rotation logic. You also pull regional ladder data using `get_location_rankings` and `list_locations`. The framework parses these complex nested JSON responses into clean Python objects, removing the need for manual dictionary slicing.
Set up Clash Royale Tactical Intelligence MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"clash-royale-tactical-intelligence-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Clash Royale Tactical Intelligence tools.",
)
result = await agent.run("List recent Clash Royale Tactical Intelligence transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clash Royale. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Clash Royale Tactical Intelligence MCP in Pydantic AI
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