Medium Risk

cuba_puente

Create edges between entities (uses, causes, implements, depends_on, related_to). 'traverse' explores connections, 'infer' does transitive reasoning (A→B→C). Relations strengthen with use (Hebbian).

Part of the Pypi:cuba Memorys server.

cuba_puente can modify Pypi:cuba Memorys data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use cuba_puente to create or modify resources in Pypi:cuba Memorys. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call cuba_puente repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Pypi:cuba Memorys.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "cuba_puente": {
      "limits": [
        {
          "counter": "cuba_puente_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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_puente 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_puente only ever does what you allow.

SECURE PYPI:CUBA MEMORYS →

Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the cuba_puente tool do? +

Create edges between entities (uses, causes, implements, depends_on, related_to). 'traverse' explores connections, 'infer' does transitive reasoning (A→B→C). Relations strengthen with use (Hebbian).. It is categorised as a Write tool in the Pypi:cuba Memorys MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on cuba_puente? +

Register the Pypi:cuba Memorys MCP server in PolicyLayer and add a rule for cuba_puente: 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_puente? +

cuba_puente is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit cuba_puente? +

Yes. Add a rate_limit block to the cuba_puente 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_puente completely? +

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

cuba_puente 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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