Search for datasets and papers across 26 platforms (Kaggle, Hugging Face, data.gov, Zenodo, OpenML, UCI, Google, AWS, World Bank, WHO, NASA, Eurostat, Socrata, Semantic Scholar, arXiv, Census.gov, SEC EDGAR, Crossref, Harvard Dataverse, OpenAlex, Europe PMC, OpenReview, DataCite, GitHub, HuggingF...
AI agents call search_datasets to retrieve information from MobusMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only queries across multiple public data platforms to retrieve and return dataset metadata and references. It retrieves information without creating, modifying, deleting, or executing operations. The blast radius of misuse is minimal—an AI agent could retrieve irrelevant datasets or waste API quota, but cannot cause damage, data loss, or unauthorized modifications.
From the tool's definition Tool description explicitly states it 'Search for datasets and papers across 26 platforms' with 'deduplication and optional filters'.
Documented attack patterns abuse exactly the kind of access search_datasets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MobusMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_datasets:
{
"version": "1",
"default": "deny",
"tools": {
"search_datasets": {}
}
}search_datasets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Search for datasets and papers across 26 platforms (Kaggle, Hugging Face, data.gov, Zenodo, OpenML, UCI, Google, AWS, World Bank, WHO, NASA, Eurostat, Socrata, Semantic Scholar, arXiv, Census.gov, SEC EDGAR, Crossref, Harvard Dataverse, OpenAlex, Europe PMC, OpenReview, DataCite, GitHub, HuggingFace Models, OpenNeuro) with deduplication and optional filters. It is categorised as a Read tool in the MobusMCP MCP Server, which means it retrieves data without modifying state.
Register the Mobus MCP server in PolicyLayer and add a rule for search_datasets: 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 MobusMCP. Nothing to install.
search_datasets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_datasets 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.
Set action: deny in the PolicyLayer policy for search_datasets. 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.
search_datasets is provided by the Mobus MCP server (mobus-ai/mobus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MobusMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 MobusMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.