This record as markdown: /tools/io-github-devopam-mcpg/get-server-info.md
What get_server_info does on Mcpg
AI agents call get_server_info to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_server_info is rated Low
The tool name pattern 'get_' is consistent with retrieval operations that query state without causing side effects. In the context of a PostgreSQL MCP server, retrieving server metadata (version, configuration, status) is a standard read-only operation. No write, execute, destructive, or financial implications are evident from the name alone.
From the tool's definition Tool name 'get_server_info' indicates retrieval of server information without modification. The empty description prevents confirmation of side effects, but the semantic naming strongly suggests a read-only query operation.
Attacks that exploit this kind of access
The rule that runs get_server_info safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_server_info, this is the rule to start with:
get_server_info 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 Mcpg, apply this rule, and every get_server_info call is checked against it from then on.
Questions about get_server_info
get_server_info is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.
Register the Mcpg MCP server in PolicyLayer and add a rule for get_server_info: 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 Mcpg. Nothing to install.
get_server_info 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_server_info 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_server_info. 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_server_info is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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