How to Use the Harry Potter API MCP in Google ADK

Q: How do I initialize the Harry Potter API in Google ADK?

Configure an McpToolset with the server URL using StreamableHttpServerParameters. Pass that toolset array directly to your LlmAgent.

Q: How do I restrict the agent to only fetching spells?

Use the optional toolnames filter when setting up your toolset. Just specify the spell endpoint and ignore the character ones.

Bring Harry Potter API data into your Google ADK pipelines to feed Gemini's massive context window with wizarding lore.

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Connect Harry Potter API MCP to Google ADK

Create your Vinkius account to connect Harry Potter API to Google ADK 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 Harry Potter API with Google ADK

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Feed Gemini the Entire Cast

Calling `get_all_characters` and `get_character` dumps the entire wizarding world roster straight into your agent's memory. Your Google ADK client retrieves actor names, ancestry, species, and survival status for hundreds of individuals at once. Gemini's massive context window easily swallows this entire dataset without breaking a sweat. You can run complex reasoning tasks across the whole character base, cross-referencing lore with your existing BigQuery tables of fan engagement metrics.

Cross-Reference Magic via MCP Server

The `get_spells` and `get_house_characters` tools let your AI client map magical abilities to specific Hogwarts factions. You pull exact effect descriptions for charms and curses, then grab the full Hufflepuff or Gryffindor rosters. Running this MCP Server through Google Cloud infrastructure means you can build enterprise-grade reasoning agents. The agent analyzes which houses have the highest concentration of specific patronus types and feeds those insights directly into Vertex AI.

Analyze School Demographics

Triggering `get_staff` and `get_students` isolates the Hogwarts population by their institutional roles. Your agent pulls lists of teachers and current pupils, including their house assignments and years. You filter these exposed tools using the `tool_names` parameter in your `McpToolset` setup. This keeps your Gemini agent focused strictly on academic demographics rather than getting distracted by background characters or creatures.

Setup guide

Set up Harry Potter API MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Harry Potter API tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Harry Potter API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Harry Potter API tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HP-API. 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 Harry Potter API MCP in Google ADK

Configure an `McpToolset` with the server URL using `StreamableHttpServerParameters`. Pass that toolset array directly to your `LlmAgent`.

Yes. Once Gemini fetches the character or spell data via the MCP integration, you can route that JSON output directly into your BigQuery datasets.

Not even close. Even pulling the entire character roster takes up a tiny fraction of Gemini's 1M+ token context window.

Use the optional `tool_names` filter when setting up your toolset. Just specify the spell endpoint and ignore the character ones.

This server fetches read-only spell types, patronus forms, and character roles. It never writes back to your Vertex AI or BigQuery instances. The V8 Isolate Sandbox ensures the connection remains strictly ephemeral and stateless.

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