How to Use the Clash Royale Tactical Intelligence MCP in AutoGen

Q: How do I set up multiple agents with AutoGen and Clash Royale Tactical Intelligence to analyze a match?

You'd create two agents. Give one the getbattlelog tool to describe what happened. Give the other the listallcards tool to suggest what could have been done differently. They'll converse to produce a post-game analysis.

Q: How does the conversation work when using AutoGen and the Clash Royale Tactical Intelligence tools?

One agent calls a tool from this MCP server, like getbattlelog. It then presents the result as a message in the group chat. Other agents react to that message, potentially calling other tools to challenge or add to the findings.

Let AI agents debate Clash Royale strategy for you. Build a war room of experts with AutoGen and real-time game data.

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Connect Clash Royale Tactical Intelligence MCP to AutoGen

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Setup Clash Royale Tactical Intelligence with AutoGen

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Let Agents Debate Your Next Deck

Set up a team of specialist agents to design your next deck. One agent, a "Meta-Analyst," uses `get_global_tournaments` to report on top-performing decks. A second agent, the "Counter-Picker," takes that input and uses `list_all_cards` to find their weaknesses. A third "Builder" agent proposes a final deck. They debate back and forth, using fresh data from this MCP server as evidence. You get a strategy that has been challenged and refined through conversation.

Simulate a Clan Council with AutoGen

Automate clan leadership with a multi-agent system. An "Activity-Monitor" agent can use `get_clan_members` and `get_battle_log` to flag inactive players. At the same time, a "War-Strategist" agent uses `get_current_river_race` to suggest attack priorities. These agents discuss their findings in a group chat. A final "Leader" agent can then summarize their consensus and present you with a clear action plan. This MCP server gives your agent council the facts they need to deliberate effectively.

Assemble a Tournament Scouting Team

Why scout tournaments manually? Deploy a team of AutoGen agents to do it for you. One agent can be tasked with finding rising stars by calling `get_location_rankings`. When it finds a target, it passes the player tag to a second agent. That second agent acts as a profiler, pulling the player's deck and stats with `get_player_profile`. The agents can then debate the player's threat level, presenting you with a summary of the most dangerous opponents you might face.

Setup guide

Set up Clash Royale Tactical Intelligence MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Clash Royale Tactical Intelligence tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Clash Royale Tactical Intelligence_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Clash Royale Tactical Intelligence data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Clash Royale Tactical Intelligence_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Clash Royale Tactical Intelligence data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

You'd create two agents. Give one the `get_battle_log` tool to describe what happened. Give the other the `list_all_cards` tool to suggest what could have been done differently. They'll converse to produce a post-game analysis.

Yes, that's a perfect use case. You can restrict which tools each agent can use. The offense agent might focus on `get_player_profile` to find weaknesses, while the defense agent uses `get_battle_log` to analyze your past losses.

You could have agents debate the best clan composition by using `get_clan_members` and `get_player_profile` on your own clan. Or, they could argue about the current meta by analyzing data from `get_global_tournaments`.

One agent calls a tool from this MCP server, like `get_battle_log`. It then presents the result as a message in the group chat. Other agents react to that message, potentially calling other tools to challenge or add to the findings.

The server itself is stateless and only handles public Clash Royale data like player tags. Vinkius uses a zero-trust model where every request is authenticated and isolated. No data from your agent conversations is ever seen or stored by this MCP server.

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