Extract domain entities and relationships from code using LLM analysis
AI agents call extract_domain_model to retrieve information from MCP Code Analysis Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs code analysis and semantic understanding to identify and extract domain entities and relationships from existing codebases. It reads and analyzes code to produce insights but does not create, modify, delete, or execute any code or side-effects. It is purely an informational/analytical tool with no capability to alter state or trigger external operations.
From the tool's definition Tool name 'extract_domain_model' and description 'Extract domain entities and relationships from code using LLM analysis' indicates data retrieval and analysis without modification.
Documented attack patterns abuse exactly the kind of access extract_domain_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Code Analysis Server, and nothing reaches the server without passing your rules. This is the rule we recommend for extract_domain_model:
{
"version": "1",
"default": "deny",
"tools": {
"extract_domain_model": {}
}
}extract_domain_model is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Extract domain entities and relationships from code using LLM analysis. It is categorised as a Read tool in the MCP Code Analysis Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Code Analysis Server MCP server in PolicyLayer and add a rule for extract_domain_model: 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 MCP Code Analysis Server. Nothing to install.
extract_domain_model 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 extract_domain_model 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 extract_domain_model. 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.
extract_domain_model is provided by the MCP Code Analysis Server MCP server (johannhartmann/mcpcodeanalysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Code Analysis Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
44 MCP Code Analysis Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.