CERN Open Data Connector for AI agents.
16 live capabilities
Access real-time particle physics datasets and research data from the Large Hadron Collider.
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Why people use CERN Open Data
CERN Open Data for Particle Physics Research
This Connector lets you just ask your agent for what you need. You can query specific experiments or search for dark matter and get a clean list of records with metadata and direct links immediately.
What Vinkius changes
You get direct access to over 66,000 datasets without leaving your chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding specific collision data
A physicist needs to find CMS data for 13 TeV proton-proton collisions.
- Real-world use case 02
Defining technical terms
A student wants to know what pseudorapidity means.
- Real-world use case 03
ML dataset discovery
A data scientist is looking for dark matter datasets.
Complete set · 16capabilities
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.
01—04
4 capabilities in this set.
Part of 16 available through CERN Open Data.
- 01 Capability
Get portal statistics
Get a high-level overview of all datasets and record types on the portal. It shows the scope of available data.
- 02 Capability
List categories
See all research categories like Higgs physics or Exotica. It shows the total dataset counts for each topic.
- 03 Capability
List experiments
View the list of experiments and their total dataset counts. Use this to see which collaborations have the most data.
- 04 Capability
List record files
Get the file names, sizes, and URIs for a specific dataset. This helps you see what's inside a record before downloading.
05—08
4 capabilities in this set.
Part of 16 available through CERN Open Data.
- 05 Capability
Search by category
Filter the repository by specific research topics and subcategories. It lets you drill down into specific physics areas.
- 06 Capability
Search by collision energy
Find data based on specific TeV or GeV energy levels. This is a primary way to scope LHC Run data.
- 07 Capability
Search datasets
Run a full-text search across all records with multiple filters. This is your primary capability for finding specific data.
- 08 Capability
Search software
Locate analysis frameworks and reconstruction capabilities. Use this to find software like CMSSW for your research.
09—12
4 capabilities in this set.
Part of 16 available through CERN Open Data.
- 09 Capability
Search supplementaries
Find technical configuration files needed to reproduce results. These are essential for extending published analyses.
- 10 Capability
Check cern opendata status
Verify that the connection to the InvenioRDM framework is active. This ensures your queries will work correctly.
- 11 Capability
Get glossary
Retrieve definitions for physics terms like luminosity or transverse momentum. This is great for accurate science communication.
- 12 Capability
Get record by doi
Find a specific dataset using its official DOI link. This is useful when you have a reference from a publication.
13—16
4 capabilities in this set.
Part of 16 available through CERN Open Data.
- 13 Capability
Get record
Pull full metadata, abstracts, and file summaries for a specific record. Use this to see the details of a search result.
- 14 Capability
Search by collision type
Filter results by collision types like proton-proton or lead-lead. Use this to focus on specific topologies.
- 15 Capability
Search by experiment
Scope your search to a specific collaboration like CMS or ATLAS. This is the fastest way to filter by organization.
- 16 Capability
Search documentation
Find guides and policies for using specific datasets. This helps you understand the data processing workflows.
Set up in minutes
One URL. Then ask CERN Open Data to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use CERN Open Data from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it CERN Open Data, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable CERN Open Data for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the CERN Open Data URL.
- Step 03
Save and start
Save the connection and enable CERN Open Data in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cern-open-data": {
"url": "https://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using CERN Open Data
Open Agent mode in chat and ask: "Using CERN Open Data, help me...". 16 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cern-open-data": {
"url": "https://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using CERN Open Data
Ask Copilot: "Using CERN Open Data, help me...". 16 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cern-open-data": {
"url": "https://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using CERN Open Data
Open Cascade and ask: "Using CERN Open Data, help me...". 16 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cern-open-data": {
"url": "https://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using CERN Open Data
Ask Cline: "Using CERN Open Data, help me...". 16 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cern-open-data --transport http "https://edge.vinkius.com/vk_preview_6c8vQb5D0ezH2BgoO0uep3ryrQC6NBo9IIKIfkWa/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using CERN Open Data
Ask Claude: "Using CERN Open Data, show me...". 16 tools are ready
Where the request belongs
Work CERN Open Data can move forward.
This is for researchers and data scientists who need to move past the web interface and get straight to the data records.
Particle Physicist
Finds specific reconstruction configurations and collision datasets for new research papers without clicking through dozens of web pages.
Data Scientist
Identifies labeled physics datasets for training machine learning models for anomaly detection or particle identification.
Science Communicator
Retrieves accurate, real-world data on Higgs boson discoveries or Dark Matter searches for reporting.
Physics Educator
Pulls clear definitions from the official glossary to build accurate lesson plans for students.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsOSTI (DOE Scientific Research)
Access Department of Energy research, datasets, and scientific publications. Search records, retrieve metadata, and manage DOI registrations.
NRC ADAMS (Nuclear Regulatory)
Access official Nuclear Regulatory Commission (NRC) documents, news, and reactor status reports directly through the ADAMS database.
Zenodo
Manage scientific research and datasets on Zenodo—create depositions, upload files, and search records directly from your AI agent.
Smithsonian Open Access
Explore millions of museum records, images, and digital assets from the Smithsonian Institution's vast collections.
Figshare
Manage research data and scholarly outputs via Figshare. list public articles, manage private uploads, and organize collections directly from your AI agent.
Harvard ClinicalTrials
Search and analyze clinical trial data from Harvard and ClinicalTrials.gov for research, drug development, and healthcare innovation.
Bring your own AI
Change the model, client or framework. Keep CERN Open Data connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about CERN Open Data.
The practical details behind the request, access and result.
How can I find Higgs boson data with CERN Open Data?
You can ask your agent to search by category or experiment. It will scan the 66,000+ available records and return a list of relevant datasets, including metadata like event counts and file sizes.
Does CERN Open Data help me find research software?
Yes, you can search for specific analysis frameworks, reconstruction capabilities, and validation software. It provides titles, descriptions, and direct links to the software used in published results.
Can CERN Open Data include the physics glossary?
Yes, it includes over 1,000 glossary entries. Your agent can pull definitions for technical terms like luminosity, b-tagging, and various detector components.
How do I get the files for a specific DOI?
You can simply provide the DOI to your agent. It will resolve the DOI to the correct CERN Open Data record and provide you with the file distribution summary and URIs.
Can I see how many datasets are in the CMS experiment?
Yes, your agent can pull portal statistics to show you the total count of datasets for CMS, along with other experiments like ATLAS and ALICE.
Is there a way to find data for specific collision energies?
You can filter searches by specific energy levels, such as 13 TeV or 7 TeV. This helps you quickly isolate data from specific LHC runs.
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.
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.
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.
One connection away
Give your agent a direct line to CERN Open Data.
Connect CERN Open Data once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available