Low Risk

cuba_vigia

Knowledge graph analytics: summary (counts + token estimate), health (staleness, entropy, DB size), drift (chi-squared on errors), communities (Leiden), bridges (betweenness centrality).

Part of the Pypi:cuba Memorys server.

cuba_vigia is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call cuba_vigia to retrieve information from Pypi:cuba Memorys without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though cuba_vigia only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "cuba_vigia": {}
  }
}

See the full Pypi:cuba Memorys policy for all 13 tools.

Get this rule live on your own Pypi:cuba Memorys server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 13 tools →

These attack patterns abuse exactly the kind of access cuba_vigia gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so cuba_vigia only ever does what you allow.

SECURE PYPI:CUBA MEMORYS →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the cuba_vigia tool do? +

Knowledge graph analytics: summary (counts + token estimate), health (staleness, entropy, DB size), drift (chi-squared on errors), communities (Leiden), bridges (betweenness centrality).. It is categorised as a Read tool in the Pypi:cuba Memorys MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on cuba_vigia? +

Register the Pypi:cuba Memorys MCP server in PolicyLayer and add a rule for cuba_vigia: 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 Pypi:cuba Memorys. Nothing to install.

What risk level is cuba_vigia? +

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

Can I rate-limit cuba_vigia? +

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

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

cuba_vigia is provided by the Pypi:cuba Memorys MCP server (LeandroPG19/cuba-memorys). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pypi:cuba Memorys tool call.

Deterministic rules across all 13 Pypi:cuba Memorys tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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