How to Use the An API of Ice And Fire MCP in AutoGen

Let your AutoGen agents debate Westeros history using live data from this MCP Server.

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Setup An API of Ice And Fire with AutoGen

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Debate character facts with An API of Ice And Fire

Configure multiple agents to check facts using `get_character`. One agent might challenge the other's claim about a character's house, forcing a tool call to resolve the disagreement. This consensus-driven approach ensures your final answer is verified by multiple perspectives. It's ideal for resolving ambiguity in complex lore.

Use your MCP Server for agent negotiation

Assign one agent the task of gathering data with `list_houses`. The other agent evaluates the response to see if it meets the criteria for your report. You create a system where agents negotiate the validity of the data. They won't stop until the information retrieved matches the requirements of the group.

Automate agent collaboration in AutoGen

The McpToolAdapter maps the server functions directly to your agents. You can give the performance agent the power to call `list_books` while the security agent monitors the process. Your agents work through the series data together. They decide in real-time which tools provide the best evidence for their ongoing discussion.

Setup guide

Set up An API of Ice And Fire 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 An API of Ice And Fire 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="An API of Ice And Fire_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent An API of Ice And Fire 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="An API of Ice And Fire_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent An API of Ice And Fire 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 An API of Ice And Fire. 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 An API of Ice And Fire MCP in AutoGen

Use the autogen-ext package to load the server tools. You then pass the tool list into your AssistantAgent constructor to enable access.

Yes, they are designed to debate. If one agent finds conflicting info, the other can request a new tool call to verify the facts.

It is. AutoGen allows your agents to share the toolset, enabling them to cross-reference character and house information during their conversation.

It supports both stdio and Streamable HTTP. Choose the one that matches your environment setup for the best performance.

The server only interacts with public series information. Every transaction is ephemeral, meaning no character or book query history is saved on our side.

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