ai_code_analysis · MCP Developer Server MCP: Risk & Policy

WHAT IT DOES

What ai_code_analysis does on MCP Developer Server

AI agents invoke ai_code_analysis to trigger actions in MCP Developer Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why ai_code_analysis needs a policy

Code analysis tools typically parse and execute static or dynamic analysis on provided code. While it may only read code and produce suggestions, AI-powered analysis can involve executing code paths, running interpreters, or triggering external operations. Given the server context (Docker containers, execute_command sibling tools), this tool likely runs analysis pipelines.

From the tool's definition 'AI-powered code analysis' implies processing/executing analysis operations on code

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ai_code_analysis Rate-limited

ai_code_analysis stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_code_analysis": {
      "limits": [
        {
          "counter": "ai_code_analysis_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Developer Server, so you can run agents against it safely.

FAQ

Questions about ai_code_analysis

What does the ai_code_analysis tool do? +

Perform AI-powered code analysis and suggestions. It is categorised as a Execute tool in the MCP Developer Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ai_code_analysis? +

Register the MCP Developer Server MCP server in PolicyLayer and add a rule for ai_code_analysis: 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 Developer Server. Nothing to install.

What risk level is ai_code_analysis? +

ai_code_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ai_code_analysis? +

Yes. Add a rate_limit block to the ai_code_analysis 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.

How do I block ai_code_analysis completely? +

Set action: deny in the PolicyLayer policy for ai_code_analysis. 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.

What MCP server provides ai_code_analysis? +

ai_code_analysis is provided by the MCP Developer Server MCP server (ra86-dev/mcpdev-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.