dbnomics-search

Search for economic datasets and series on DBnomics.

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/dbnomics-search.md

WHAT IT DOES

What dbnomics-search does on Meta Data Mcp

AI agents call dbnomics-search 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.

RISK

Why dbnomics-search is rated Low

This tool retrieves and queries economic data from an open API (DBnomics) without creating, modifying, deleting, executing code, or moving money. It is purely informational and read-only in nature, with minimal blast radius if misused by an AI agent.

From the tool's definition Tool name 'dbnomics-search' and description 'Search for economic datasets and series on DBnomics' indicate a query/search operation with no modification or execution of external commands.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs dbnomics-search safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Meta Data Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dbnomics-search, this is the rule to start with:

dbnomics-search Allowed

dbnomics-search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "dbnomics-search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Meta Data Mcp, apply this rule, and every dbnomics-search call is checked against it from then on.

FAQ

Questions about dbnomics-search

What does the dbnomics-search tool do? +

Search for economic datasets and series on DBnomics. 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 dbnomics-search? +

Register the Meta Data MCP server in PolicyLayer and add a rule for dbnomics-search: 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 dbnomics-search? +

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

Can I rate-limit dbnomics-search? +

Yes. Add a rate_limit block to the dbnomics-search 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 dbnomics-search completely? +

Set action: deny in the PolicyLayer policy for dbnomics-search. 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 dbnomics-search? +

dbnomics-search 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.

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