Medium Risk

manage_config

Save, load, list, or delete reusable filter configurations. Allows LLMs to store commonly used capture and analysis parameters for easy reuse.

How to control manage_config ↓

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

Medium Risk

This tool modifies stored configuration metadata rather than network capture data or system state. While it includes a delete function, configurations are user-created preferences/settings that can be regenerated, making it a Write operation rather than Destructive. The severity is medium because misconfiguration could affect network analysis accuracy, but the blast radius is limited to configuration scope.

From the tool's definition Tool performs create, update, and delete operations on configuration files: 'Save, load, list, or delete reusable filter configurations.' The 'delete' action on stored configurations is reversible (configurations can be recreated), distinguishing it from…

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

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

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

manage_config 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 SharkMCP — 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.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the manage_config tool do? +

Save, load, list, or delete reusable filter configurations. Allows LLMs to store commonly used capture and analysis parameters for easy reuse. It is categorised as a Write tool in the SharkMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_config? +

Register the Shark MCP server in PolicyLayer and add a rule for manage_config: 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 SharkMCP. Nothing to install.

What risk level is manage_config? +

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

Can I rate-limit manage_config? +

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

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

manage_config is provided by the Shark MCP server (tuliperis/sharkmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SharkMCP tool call.

Deterministic rules across all 4 SharkMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4 SharkMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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