Perform unified static code analysis on source files
AI agents call analyze_code to retrieve information from MCP Prompts Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Static code analysis retrieves and examines code properties (complexity, patterns, style, potential issues) without side effects. No data is created, modified, deleted, or executed. The sibling tools include destructive actions (delete operations) and execute operations (app launching, screenshots), but this tool is purely analytical.
From the tool's definition Tool performs 'static code analysis' on source files—a read-only inspection operation that examines code without modifying or executing it.
Documented attack patterns abuse exactly the kind of access analyze_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Prompts Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_code:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_code": {}
}
}analyze_code is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Perform unified static code analysis on source files. It is categorised as a Read tool in the MCP Prompts Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Prompts Server MCP server in PolicyLayer and add a rule for analyze_code: 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 Prompts Server. Nothing to install.
analyze_code 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 analyze_code 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 analyze_code. 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.
analyze_code is provided by the MCP Prompts Server MCP server (sparesparrow/mcp-prompts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 51 MCP Prompts Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
51 MCP Prompts Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.