How to Use the Europeana MCP in Google ADK

Q: How do I configure Europeana for Google ADK?

Install google-adk and initialize a McpToolset with your HTTP server parameters. Pass this toolset directly to your LlmAgent to expose the endpoints.

Q: Can Google ADK filter the Europeana tools exposed to Gemini?

Absolutely. You can use the toolnames filter during setup to restrict the agent. If you only want it running searchrecords, you block the rest.

Feed millions of historical artifacts into Gemini using the Europeana MCP Server for Google ADK.

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Connect Europeana MCP to Google ADK

Create your Vinkius account to connect Europeana 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 Europeana with Google ADK

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Query Europeana with Google ADK

The `search_records` tool exposes millions of European artworks and books to your Gemini models through this MCP Server. You pass search terms, and the API returns structured metadata straight into your enterprise environment. Gemini's massive context window thrives on this data. You can dump thousands of search results into a single prompt and ask the model to map historical trends across centuries.

Inspect cultural objects and entities

Your agent executes `get_record` to pull detailed information about a specific cultural heritage object. If that object contains linked data, it calls `get_entity` to resolve the exact historical figures or places involved. This workflow pairs perfectly with BigQuery. The framework extracts these deep records and pipelines them directly into your data warehouse for large-scale analysis.

Process bulk XML metadata

Trigger `oaipmh_request` to harvest raw OAI-PMH XML data from Europeana. This handles bulk synchronization when you need entire collections rather than single items. Managing XML parsing is trivial when backed by Google Cloud infrastructure. Your agent pulls the bulk records and hands them off to Vertex AI for custom entity extraction.

Setup guide

Set up Europeana 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 Europeana 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="Europeana_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Europeana tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Europeana MCP in Google ADK

Install `google-adk` and initialize a `McpToolset` with your HTTP server parameters. Pass this toolset directly to your `LlmAgent` to expose the endpoints.

Absolutely. You can use the `tool_names` filter during setup to restrict the agent. If you only want it running `search_records`, you block the rest.

Native integration with GCP changes the math. Your agent can pull historical records and immediately cross-reference them with your existing BigQuery datasets.

Yes. The framework supports both Stdio and HTTP transports natively. You just configure the `StreamableHttpServerParameters` with your Vinkius endpoint.

The system processes public museum metadata and OAI-PMH XML payloads. Vinkius runs the connection through a zero-trust, ephemeral sandbox that destroys all session data the moment the HTTP request resolves.

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