analyze_code
Analyze code using the local LLM
This record as markdown: /tools/0xsaju-mcp-server/analyze-code.md
What analyze_code does on MCP Server with Local LLM
AI agents call analyze_code to retrieve information from MCP Server with Local LLM without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why analyze_code is rated Low
The tool sends code to a local LLM for analysis. This is fundamentally a read/query operation — it inspects code and returns insights without modifying files, executing code, or causing side effects.
From the tool's definition 'Analyze code using the local LLM' — the tool reads and analyzes code, producing analysis output
Attacks that exploit this kind of access
The rule that runs analyze_code safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Server with Local LLM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For analyze_code, this is the rule to start with:
analyze_code 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 MCP Server with Local LLM, apply this rule, and every analyze_code call is checked against it from then on.
Questions about analyze_code
Analyze code using the local LLM. It is categorised as a Read tool in the MCP Server with Local LLM MCP Server, which means it retrieves data without modifying state.
Register the MCP Server with Local LLM 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 Server with Local LLM. 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 Server with Local LLM MCP server (0xsaju/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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