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

Q: How do I configure CrewAI to use An API of Ice And Fire tools?

Simply pass the Vinkius HTTP URL into the mcps list when defining your CrewAI agents. The framework automatically parses the server tools and makes them available to your team.

Q: How do I limit which CrewAI agents can access this MCP Server?

Use the MCPServerHTTP class from the crewai.mcp package. You can apply a toolfilter to expose only book-related tools to specific agents.

Deploy a team of specialized agents to analyze Westeros history using CrewAI and this MCP Server.

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Connect An API of Ice And Fire MCP to CrewAI

Create your Vinkius account to connect An API of Ice And Fire to CrewAI 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 CrewAI

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Multi-Agent Westeros Intelligence Teams in CrewAI

The `list_houses` tool pulls records of noble houses, allowing your specialized CrewAI research agent to map out political alliances. Meanwhile, a separate analyst agent uses this data to write reports on regional power dynamics. By declaring the Vinkius endpoint in your agent's `mcps` array, both agents share access to the same Westeros database. They collaborate autonomously, passing house details back and forth without your intervention.

Targeted Character Dossiers

The `list_characters` tool filters the entire character database by name, gender, or culture to find specific historical figures. Your crew uses this tool to narrow down search targets before executing deep-dive lookups. You can restrict access to this MCP Server using `MCPServerHTTP` and a custom `tool_filter`. This ensures only your specialized biographer agent can search characters, keeping your other agents focused on books.

Automated Book and Timeline Auditing

The `get_book` tool retrieves exact details on specific novels, including their POV characters and release years. A timeline agent can verify narrative consistency across different books in the series. Because CrewAI supports hierarchical execution, a manager agent can coordinate this entire process. It assigns tasks to sub-agents, who use the tool to pull raw book data and compile the final report.

Setup guide

Set up An API of Ice And Fire MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke An API of Ice And Fire tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="An API of Ice And Fire Analyst",
    goal="Access and analyze An API of Ice And Fire data via MCP.",
    backstory="Expert analyst with direct An API of Ice And Fire access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent An API of Ice And Fire transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="An API of Ice And Fire Analyst",
        goal="Access and analyze An API of Ice And Fire data via MCP.",
        backstory="Expert analyst with direct An API of Ice And Fire access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent An API of Ice And Fire transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Simply pass the Vinkius HTTP URL into the `mcps` list when defining your CrewAI agents. The framework automatically parses the server tools and makes them available to your team.

Yes, CrewAI allows different specialized agents to call tools like `get_character` or `list_houses` in parallel. They share memory to avoid making duplicate queries.

Use the `MCPServerHTTP` class from the crewai.mcp package. You can apply a `tool_filter` to expose only book-related tools to specific agents.

Yes, it works with both local and cloud setups. Since Vinkius hosts the MCP Server on a secure, public endpoint, your Python agents can query Westeros data from any environment.

Yes, we handle all requests in ephemeral V8 sandboxes. Your searches for houses, books, and characters are never cached or stored, keeping your research completely private.

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