How to Use the CERN Open Data MCP in Google ADK
Bring Large Hadron Collider datasets into your Google ADK agent workflows for direct analysis and research.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CERN Open Data MCP to Google ADK
Create your Vinkius account to connect CERN Open Data 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.
Targeted dataset discovery for Google ADK
Your agent can execute `search_datasets` to perform full-text queries against the entire portal. It returns metadata including event counts, which you can use to prioritize high-value records. Integrating this with your existing infrastructure is simple. The MCP Server provides the metadata, and your agent handles the logic for what to do with those records.
Physics category filtering
Use `list_categories` to see the full range of research, from Higgs boson searches to heavy-ion collisions. Your agent can then use `search_by_category` to drill down into specific physics domains. This level of granularity lets your agent focus on relevant data. It stops you from wasting cycles on irrelevant records by using the built-in subcategory parameters.
Resolve and list data files
When you have a specific DOI, use `get_record_by_doi` to find the corresponding dataset record. Follow this up with `list_record_files` to get the checksums and URIs for the actual ROOT files. This chain of tools gives your agent a direct path to the data. It moves from a simple identifier to the actionable file links required for processing.
Set up CERN Open Data MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 CERN Open Data tools in your ADK agent.
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="CERN Open Data_agent",
model="gemini-2.0-flash",
instruction="You have access to CERN Open Data tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CERN Open Data. 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 CERN Open Data MCP in Google ADK
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