find_similar

THE RISK

Low Risk

Why find_similar needs a policy

This tool performs a search/query operation across datasets to identify similar ones. It has no side effects, does not modify data, and does not trigger external operations. It is purely informational, making it a Read category tool with low severity.

From the tool's definition The tool 'find_similar' is described as finding datasets similar to a given dataset based on tags, name, and description. It retrieves and queries data without modifying, deleting, or executing code.

Documented attack patterns abuse exactly the kind of access find_similar gives an agent:

POLICY

How to control find_similar

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 find_similar:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "find_similar": {}
  }
}

find_similar is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MobusMCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More MobusMCP tools

Write watch_query Save, remove, list, or check dataset search watches for monitoring new datasets Read assess_quality Assess data quality: missing values, duplicates, basic statistics, and date freshness Read check_compatibility Check if a dataset Read check_license Check if a dataset Read compare_datasets Compare 2-5 datasets side by side: columns, sizes, licenses, and column overlap Read enrich_result Enrich a dataset or paper by DOI: resolve open-access links, PDF URLs, citation counts, an Read find_research_datasets Find datasets used in academic research for a given topic — searches Semantic Scholar and Read get_dataset_details Get detailed metadata for a specific dataset (columns, row count, files, popularity)

All 13 MobusMCP tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about find_similar

What does the find_similar tool do? +

Find datasets similar to a given dataset based on tags, name, and description. It is categorised as a Read tool in the MobusMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_similar? +

Register the Mobus MCP server in PolicyLayer and add a rule for find_similar: 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.

What risk level is find_similar? +

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

Can I rate-limit find_similar? +

Yes. Add a rate_limit block to the find_similar 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 find_similar completely? +

Set action: deny in the PolicyLayer policy for find_similar. 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 find_similar? +

find_similar 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.

Enforce policy on every MobusMCP tool call.

Start from MobusMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →