This record as markdown: /tools/com-local-mcp-local-mcp/get-config.md
What get_config does on Local
AI agents call get_config to retrieve information from Local without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_config is rated Low
This tool retrieves configuration state without modifying, deleting, or executing any operations. It is purely informational. The masked API key shows appropriate security practices. No blast radius from misuse beyond information disclosure of non-sensitive config data.
From the tool's definition Tool name is 'get_config' and description states it 'Returns the current LMCP configuration'. The verb 'Returns' indicates a retrieval operation with no side effects. The note that api_key is masked further confirms this is a read-only introspection tool.
Attacks that exploit this kind of access
The rule that runs get_config safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Local, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_config, this is the rule to start with:
get_config is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Local, apply this rule, and every get_config call is checked against it from then on.
Questions about get_config
Returns the current LMCP configuration (api_key masked). It is categorised as a Read tool in the Local MCP Server, which means it retrieves data without modifying state.
Register the Local MCP server in PolicyLayer and add a rule for get_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 Local. Nothing to install.
get_config is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_config is provided by the Local MCP server (local-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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