Low Risk

org_dashboard

Org-wide multi-agent dashboard — shows all active agents, gate decisions, adherence rates, risk agents, and top blocked gates across the organization. Team rollout: full visibility. Free preview: limited to 3 agents.

Part of the MCP Memory Gateway server.

org_dashboard 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 org_dashboard to retrieve information from MCP Memory Gateway 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 org_dashboard 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": {
    "org_dashboard": {}
  }
}

See the full MCP Memory Gateway policy for all 57 tools.

Get this rule live on your own MCP Memory Gateway server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access org_dashboard 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 org_dashboard only ever does what you allow.

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

What does the org_dashboard tool do? +

Org-wide multi-agent dashboard — shows all active agents, gate decisions, adherence rates, risk agents, and top blocked gates across the organization. Team rollout: full visibility. Free preview: limited to 3 agents.. It is categorised as a Read tool in the MCP Memory Gateway MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on org_dashboard? +

Register the MCP Memory Gateway MCP server in PolicyLayer and add a rule for org_dashboard: 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 MCP Memory Gateway. Nothing to install.

What risk level is org_dashboard? +

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

Can I rate-limit org_dashboard? +

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

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

org_dashboard is provided by the MCP Memory Gateway MCP server (IgorGanapolsky/mcp-memory-gateway). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Memory Gateway tool call.

Deterministic rules across all 57 MCP Memory Gateway tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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