How to Use the An API of Ice And Fire MCP in OpenAI Agents SDK

Q: How do I connect An API of Ice And Fire to my OpenAI Agents SDK pipeline?

Install openai-agents and initialize MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass the server instance inside the mcpservers list when creating your Agent constructor.

Q: Can I trace queries made to An API of Ice And Fire using the OpenAI Agents SDK?

Yes, every call to tools like getcharacter or gethouse shows up in your OpenAI tracing dashboard. You can inspect the exact payloads and latency for each lore lookup.

Q: How does OpenAI Agents SDK handle tool discovery for An API of Ice And Fire?

The SDK auto-discovers all six tools, including listbooks, during startup. Set cacheToolsList=True in your connection params to speed up subsequent agent initializations.

Build production-grade OpenAI Agents SDK apps that query Westeros lore with built-in guardrails and tracing.

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Connect An API of Ice And Fire MCP to OpenAI Agents SDK

Create your Vinkius account to connect An API of Ice And Fire to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup An API of Ice And Fire with OpenAI Agents SDK

Ask AI about this MCP

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Perplexity

Verify Westeros Allegiances with OpenAI Agents SDK

Let your agents inspect noble lineages using `list_houses` and `get_house` tools. The SDK traces these calls directly in your OpenAI developer dashboard, letting you watch how your agent maps out the political web of the Seven Kingdoms. You can set hard guardrails to prevent your agent from hallucinating alliances. If the model tries to invent a fictional house, the validation layer stops the run before it hits your production logs.

Deep Character Profiling via MCP Server

Your agent uses `get_character` and `list_characters` to pull cultural backgrounds and historical allegiances. By combining these tools, you can build a specialized maester agent that only handles character backstories. The framework handles handoffs smoothly. One agent can gather raw character data from this MCP Server, then pass the structured output to a writer agent to draft summaries.

Track Literary Timelines Instantly

Stop hardcoding book details. Your system queries `list_books` and `get_book` dynamically to check page counts, release dates, and character appearances across the entire series. Enable `cacheToolsList=True` during your streamable HTTP setup to keep tool discovery fast. Your agents get immediate access to publishing facts without wasting API overhead on redundant schema lookups.

Setup guide

Set up An API of Ice And Fire MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all An API of Ice And Fire tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives An API of Ice And Fire tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate An API of Ice And Fire tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="An API of Ice And Fire Agent",
            instructions="You have access to An API of Ice And Fire tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Install `openai-agents` and initialize `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass the server instance inside the `mcp_servers` list when creating your Agent constructor.

Yes, every call to tools like `get_character` or `get_house` shows up in your OpenAI tracing dashboard. You can inspect the exact payloads and latency for each lore lookup.

The SDK auto-discovers all six tools, including `list_books`, during startup. Set `cacheToolsList=True` in your connection params to speed up subsequent agent initializations.

You can control this in your agent's system prompt or by wrapping the `get_house` tool in a custom MCP guardrail function. This prevents the model from requesting restricted regions of Westeros.

No, this MCP Server only queries public book, character, and house data from the fantasy series. Vinkius processes these requests in isolated, zero-trust environments.

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