cern-search-by-experiment

Search CERN Open Data records scoped to a specific experiment (CMS, ATLAS, LHCb, ALICE).

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/cern-search-by-experiment.md

What cern-search-by-experiment does on Meta Data Mcp

AI agents call cern-search-by-experiment to retrieve information from Meta Data Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why cern-search-by-experiment is rated Low

This tool retrieves data from CERN's public open data repository by querying records filtered by experiment type. It has no side effects, cannot modify data, and poses minimal risk if misused by an AI agent—worst case being information retrieval from already-public sources. This is a straightforward Read operation.

From the tool's definition Tool name contains 'search' and description states 'Search CERN Open Data records'. The action is querying/retrieving publicly available open data with no modification, creation, deletion, or execution of code.

Questions about cern-search-by-experiment

What does the cern-search-by-experiment tool do? +

Search CERN Open Data records scoped to a specific experiment (CMS, ATLAS, LHCb, ALICE). It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on cern-search-by-experiment? +

Register the Meta Data MCP server in PolicyLayer and add a rule for cern-search-by-experiment: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Meta Data Mcp. Nothing to install.

What risk level is cern-search-by-experiment? +

cern-search-by-experiment is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit cern-search-by-experiment? +

Yes. Add a rate_limit block to the cern-search-by-experiment rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block cern-search-by-experiment completely? +

Set action: deny in the PolicyLayer policy for cern-search-by-experiment. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides cern-search-by-experiment? +

cern-search-by-experiment is provided by the Meta Data MCP server (pypi:meta-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Meta Data, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Meta Data's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.