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Use CERN Open Data with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Explore particle physics datasets from the Large Hadron Collider and access open research data from CERN experiments.

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

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Complete set · 16 capabilities

The complete CERN Open Data capability set.

These are the exact actions your AI can choose when you ask it to work with CERN Open Data.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 16 available through CERN Open Data.

  1. 01

    Check cern opendata status

    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

  2. 02

    Get glossary

    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

  3. 03

    Get portal statistics

    ), 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

  4. 04

    Get record

    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

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 16 available through CERN Open Data.

  1. 05

    Get record by doi

    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

  2. 06

    List categories

    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

  3. 07

    List experiments

    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

  4. 08

    List record files

    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

Capability set03 / 04

09-12

4 capabilities in this set.

Part of 16 available through CERN Open Data.

  1. 09

    Search by category

    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

  2. 10

    Search by collision energy

    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

  3. 11

    Search by collision type

    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

  4. 12

    Search datasets

    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 capability 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

Capability set04 / 04

13-16

4 capabilities in this set.

Part of 16 available through CERN Open Data.

  1. 13

    Search documentation

    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

  2. 14

    Search software

    Returns software title, description, associated experiment, and subtypes (Analysis, Framework, Capability, 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 capabilities

  3. 15

    Search supplementaries

    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

  4. 16

    Search by experiment

    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

Observed, not estimated

980ms average. Fast in production.

CERN Open Data is checked daily against the live service.

Daily averagePeak 1174ms
Aug 29Today
Fastest day
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Slowest day
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14-day trend
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Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 16 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of CERN Open Data, so you can see the experience inside your AI.

It does not authenticate your account with CERN Open Data. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

CERN Open Data Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — CERN Open Data capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cern-open-data-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions CERN Open Data owners ask.

  • 01

    Do I need an API key to use this server?

    No. The CERN Open Data Portal API is completely public and requires no authentication. Simply subscribe to this server and enter any placeholder value in the API key field to start querying particle physics datasets immediately.

  • 02

    What kind of data can I access from CERN?

    You can access over 66,000 datasets from major LHC experiments (CMS, ATLAS, ALICE, LHCb) and legacy experiments (DELPHI, OPERA). This includes real collision data, Monte Carlo simulations, derived datasets, analysis software, physics glossary entries, and detailed documentation. Data covers Higgs boson searches, Dark Matter studies, exotic particle searches, heavy-ion physics, and more.

  • 03

    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 capabilities 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.

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