AI agents use enable_pyfilter to create or update resources in Firegex — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Firegex environment.
Enabling a pyfilter modifies the state of the firewall/proxy system by activating a filter rule. This is a reversible state change (it can be disabled again), placing it in the Write category. The blast radius is medium because enabling an incorrect or malicious filter could affect traffic filtering behavior in the CTF firewall proxy, potentially allowing or blocking unintended traffic.
From the tool's definition "Enable a single pyfilter by name" — activates/enables an existing filter configuration
Attacks that exploit this kind of access
Enable a single pyfilter by name. It is categorised as a Write tool in the Firegex MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Firegex MCP server in PolicyLayer and add a rule for enable_pyfilter: 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 Firegex. Nothing to install.
enable_pyfilter is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the enable_pyfilter 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.
Set action: deny in the PolicyLayer policy for enable_pyfilter. 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.
enable_pyfilter is provided by the Firegex MCP server (umbra2728/firegex-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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