Integrate CERN Open Data with Claude, Cursor, Chatbots & AI Agents MCP Server

Explore particle physics datasets from the Large Hadron Collider and access open research data from CERN experiments.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

check

Check cern opendata status on CERN Open Data

Use this to verify the integration is working correctly before performing data queries. The API uses the InvenioRDM REST framework. Verify CERN Open Data API connectivity and portal status

get

Get glossary on CERN Open Data

Returns term names, definitions, and associated experiments. Covers fundamental particles, detector components, analysis techniques, and physics phenomena. Use this to explain technical physics terms like "luminosity", "transverse momentum", "pseudorapidity", "b-tagging", or "muon spectrometer". Invaluable for science communication and educational contexts. Search the CERN particle physics glossary for term definitions

get

Get portal statistics on CERN Open Data

), record types (Dataset, Documentation, Software, Glossary, Supplementaries), data-taking years, keywords, availability status, and event count distributions. This is the single most informative endpoint for understanding the scope and composition of available CERN data. Get comprehensive CERN Open Data portal statistics and facets

get

Get record on CERN Open Data

Returns the full title, abstract, experiment, authors with ORCID identifiers, collision parameters, publication dates, DOI, file distribution summary (number of files, events, size), usage instructions, and a direct link. Use this after finding a record via search to obtain complete details. Example: recid "1" returns the CMS BTau primary dataset. Get detailed metadata for a specific CERN Open Data record

get

Get record by doi on CERN Open Data

Returns the resolved record ID, title, experiment, type, and direct link if found. Useful when you have a DOI from a publication or reference and need to find the corresponding open dataset. DOIs follow the format "10.7483/OPENDATA.CMS.XXX". Returns a "not found" result if the DOI does not match any record. Resolve a DOI to a CERN Open Data record

list

List categories on CERN Open Data

Returns category names and dataset counts. Categories span the full range of particle physics research: Higgs boson searches, exotic particles (Dark Matter, Extra Dimensions, Gravitons), B physics, heavy-ion collisions, and more. Subcategories within Exotica and Higgs Physics provide finer granularity. List all physics categories and subcategories with dataset counts

list

List experiments on CERN Open Data

Currently includes CMS (the largest contributor with ~52,000 datasets), DELPHI (LEP era), ATLAS, ALICE, LHCb, OPERA (neutrino physics), TOTEM, JADE, and PHENIX. Use this as a starting point to understand what data is available before drilling into specific experiments. List all available CERN experiments and their dataset counts

list

List record files on CERN Open Data

Returns filename, size in bytes, checksum, ROOT/EOS URI for direct data access, and file format. Useful for understanding what data is available in a dataset before downloading. Large datasets may contain hundreds of ROOT files. Example: record 1 contains AOD format files from CMS BTau data. List all data files in a CERN Open Data record

Search by category on CERN Open Data

Major categories include: Exotica (~13,000 datasets, including Dark Matter, Extra Dimensions, Gravitons, Heavy Fermions, Leptoquarks), Higgs Physics (~10,400, Standard Model and Beyond Standard Model), Higgs (~10,700), Beyond 2 Generations (~1,600), 2 Fermion (~1,200), B physics and Quarkonia (~500), 4 Fermion (~380), Heavy-Ion Physics (~220). Some categories have subcategories — use the subcategory parameter for more precise filtering. Search datasets filtered by physics category

Search by collision energy on CERN Open Data

Available energies include: 13TeV (~50,500 datasets, LHC Run 2), 181-210 GeV (~11,700, LEP2), 7TeV (~1,100, LHC Run 1), 8TeV (~900, LHC Run 1), 5.02TeV (~310, heavy-ion), 2.76TeV (~120, heavy-ion), 130-140 GeV (~120, LEP), 13.6TeV (LHC Run 3). The vast majority of data comes from 13 TeV proton-proton collisions at the LHC. Search datasets filtered by collision energy

Search by collision type on CERN Open Data

Available collision types: pp (proton-proton, ~52,000 datasets), e+e- (electron-positron, ~12,700), Pb-Pb (lead-lead, ~140), pPb (proton-lead, ~140). Proton-proton collisions from the LHC dominate the dataset. Electron-positron data comes primarily from the LEP era (DELPHI). Use this to focus on a specific collision topology. Search datasets filtered by particle collision type

Search by experiment on CERN Open Data

Available experiments include CMS (~52,000 datasets), DELPHI (~12,700), ATLAS (~160), ALICE (~150), LHCb (~108), OPERA (~900), and TOTEM. Combine with a text query for targeted searches within an experiment. This is the fastest way to scope results to a single collaboration. Search datasets filtered by a specific LHC experiment

Search datasets on CERN Open Data

Supports full-text queries combined with filters for experiment, collision type, collision energy, physics category, file type, and year. Returns paginated results with metadata including record ID, title, abstract, event counts, file sizes, and direct links. Use this as the primary discovery tool for finding specific physics data. Example queries: "Higgs boson", "dark matter", "top quark pair production". Search CERN Open Data datasets with full-text query and filters

Search documentation on CERN Open Data

Returns document titles, abstracts, subtypes (Guide, Policy, About, Activities, Authors, Report, Help, Stripping), and direct links. Use this to find instructions on how to use specific datasets, understand detector configurations, or learn about data processing workflows. Search CERN guides, policies, and documentation

Search software on CERN Open Data

Returns software title, description, associated experiment, and subtypes (Analysis, Framework, Tool, Validation, Workflow). Use this to find reconstruction software, analysis frameworks like CMSSW, or specific analysis code associated with published physics results. Search CERN analysis software, frameworks, and tools

Search supplementaries on CERN Open Data

These ~5,900 records provide the technical context needed to reproduce physics analyses. Filter by subtype to find specific configuration types. Essential for researchers reproducing or extending published analyses. Search CERN supplementary materials and configurations

Security & Code Integrity Audit

Every tool in the CERN Open Data MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 98.33

How Vinkius protects your data

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

Can I use CERN data for machine learning projects?

Absolutely. CERN provides labeled datasets specifically designed for ML applications, including particle identification, jet classification, event reconstruction, and anomaly detection. Use the search tools with queries like 'machine learning' or filter by file type 'csv' or 'nanoaodsim' to find ML-ready formats. The CMS experiment alone has published thousands of simulated datasets with known physics labels.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Supported Use Cases for CERN Open Data

Integrate CERN Open Data to provide your custom AI agents with direct read and write access to the capabilities listed below.

Next-Gen particle physics Operations

The CERN Open Data MCP manages API routing for particle physics. This enables AI agents like Claude Code to execute structured the unthinkable queries.

AI-Driven open data Workflows

Integrate CERN Open Data to access native open data capabilities. This allows LLMs to perform secure, deterministic execution of the unthinkable tasks without hard-coded API scripts.