Medium Risk

share_blueprint_with_users

Share a blueprint with users. Args: blueprint_id: ID of the blueprint to share user_ids: List of user IDs to share with Returns: Share operation result

How to control share_blueprint_with_users ↓

AI agents use share_blueprint_with_users to create or update resources in Ludus FastMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ludus FastMCP environment.

Medium Risk

This tool modifies access control by sharing a blueprint with specified users, which is a reversible write operation. It doesn't delete data or execute code, but it does grant access to potentially sensitive cyber range configurations. Misuse could expose security testing blueprints to unauthorized users, hence medium severity.

From the tool's definition Share a blueprint with users — creates access/permission records for specified users

Documented attack patterns abuse exactly the kind of access share_blueprint_with_users gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for share_blueprint_with_users:

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

share_blueprint_with_users stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Ludus FastMCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the share_blueprint_with_users tool do? +

Share a blueprint with users. Args: blueprint_id: ID of the blueprint to share user_ids: List of user IDs to share with Returns: Share operation result. It is categorised as a Write tool in the Ludus FastMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on share_blueprint_with_users? +

Register the Ludus Fast MCP server in PolicyLayer and add a rule for share_blueprint_with_users: 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 Ludus FastMCP. Nothing to install.

What risk level is share_blueprint_with_users? +

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

Can I rate-limit share_blueprint_with_users? +

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

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

share_blueprint_with_users is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ludus FastMCP tool call.

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201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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