How to Use the CERN Open Data MCP in Mastra AI

Build resilient, automated particle physics workflows with Mastra AI and this MCP Server.

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Connect CERN Open Data MCP to Mastra AI

Create your Vinkius account to connect CERN Open Data to Mastra AI 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 CERN Open Data with Mastra AI

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Automated dataset sync workflows with Mastra AI

Build automated workflows that monitor and sync specific physics datasets without babysitting the process. Using Mastra AI, you can write step-by-step pipelines that query `get_portal_statistics` to detect new data-taking years or updated record types. If the API rate limits your query, Mastra's built-in exponential backoff automatically retries the request. This structure lets you chain tools together reliably. For example, your workflow can pull categories using `list_categories` and automatically trigger downstream actions if a new Exotica subcategory appears, ensuring your local databases stay synchronized with Geneva.

Conditional routing for physics software verification

Use Mastra AI's conditional branching to automate your analysis environment setup. Your agent can check `search_software` to find the correct CMSSW version or reconstruction tool for a specific dataset. If the software requires specific configurations, the workflow branches to query `search_supplementaries` for the matching setup files. If the required configuration is missing, Mastra can route the task to a human-in-the-loop approval step. This stops broken workflows before they waste expensive compute cycles on invalid ROOT files.

Multi-step collision run validation

Automate the process of validating physical run parameters before kicking off simulation jobs. Your Mastra agent can query `search_by_collision_type` to find relevant proton-proton runs, then pass those records to `search_by_collision_energy` to verify the center-of-mass energy matches your criteria. By wrapping these steps in a Mastra workflow, you ensure that every dataset passes validation before your pipeline attempts to download raw files. The MCP Server acts as the source of truth, validating everything from event counts to file checksums.

Setup guide

Set up CERN Open Data MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CERN Open Data tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cern-open-data-mcp-client",
  servers: {
    "cern-open-data-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CERN Open Data Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CERN Open Data tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CERN Open Data transactions"
);
console.log(result.text);

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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 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 Mastra AI

You initialize the MCP client in Mastra and spread the tools from the client list into your agent configuration. This exposes endpoints like `search_datasets` directly to the agent's execution loop.

Yes, Mastra AI has built-in retry mechanisms with exponential backoff. If `list_record_files` fails due to a network hiccup while fetching a record with thousands of ROOT files, Mastra automatically retries the call.

You can use Mastra's tool approval feature. When your workflow resolves a dataset via `get_record_by_doi`, you can pause execution and require admin approval before the agent proceeds to download the raw data.

Yes, you can deploy your Mastra agent to any cloud provider with a single command. The agent connects to the Vinkius managed endpoint using your secure token, giving it instant access to `check_cern_opendata_status` from any environment.

Your credentials and query details, like specific collision runs or search queries, are processed entirely within ephemeral Vinkius sandboxes via this MCP Server. This zero-trust architecture ensures your research pipeline remains isolated and secure.

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