gdelt-volume-timeline

Fetch a time-series for a GDELT query — choose volume (share or raw

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/gdelt-volume-timeline.md

WHAT IT DOES

What gdelt-volume-timeline does on Meta Data Mcp

AI agents call gdelt-volume-timeline 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 gdelt-volume-timeline is rated Low

This tool queries an open data API to retrieve time-series data. It is a fetch/retrieval operation with no capability to create, modify, delete, or execute code. The blast radius of misuse is minimal — an agent could only retrieve more data than intended, not cause harm.

From the tool's definition 'Fetch a time-series for a GDELT query' — retrieves historical event data without modifying or deleting anything. GDELT (Global Database of Events, Language, and Tone) is a public event database; querying it has no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gdelt-volume-timeline 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 gdelt-volume-timeline, this is the rule to start with:

gdelt-volume-timeline Allowed

gdelt-volume-timeline 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": {
    "gdelt-volume-timeline": {}
  }
}

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 gdelt-volume-timeline call is checked against it from then on.

FAQ

Questions about gdelt-volume-timeline

What does the gdelt-volume-timeline tool do? +

Fetch a time-series for a GDELT query — choose volume (share or raw. 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 gdelt-volume-timeline? +

Register the Meta Data MCP server in PolicyLayer and add a rule for gdelt-volume-timeline: 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 gdelt-volume-timeline? +

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

Can I rate-limit gdelt-volume-timeline? +

Yes. Add a rate_limit block to the gdelt-volume-timeline 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 gdelt-volume-timeline completely? +

Set action: deny in the PolicyLayer policy for gdelt-volume-timeline. 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 gdelt-volume-timeline? +

gdelt-volume-timeline 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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