// SCAN REPORT

AI Code Review MCP Server

6 tools. 1 can modify or destroy data without limits.

1 write tool that can modify data. Rate limits recommended.

Last updated: 3 Jul 2026

1 can modify or destroy data

5 read-only

6 tools total

Community server · catalogue entry verified 03/07/2026

How to control AI Code Review MCP Server ↓

TOOL MAP

What AI Code Review MCP Server exposes to your agents

Read (5) Write / Execute (1) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

High Risk

The most dangerous AI Code Review MCP Server tools

Write · Medium github_create_review This tool creates new review comments on pull requests, which modifies GitHub state reversibly.

1 of AI Code Review MCP Server's 6 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control AI Code Review MCP Server

PolicyLayer is an MCP gateway — it sits between your AI agents and AI Code Review MCP Server, and nothing reaches the server without passing your rules. These are the rules we recommend:

Rate limit write operations

{
  "github_create_review": {
    "limits": [
      {
        "counter": "github_create_review_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "fs_list_files": {
    "limits": [
      {
        "counter": "fs_list_files_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register AI Code Review MCP Server — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON AI CODE REVIEW →

Instant setup, no code required.

FULL CATALOGUE

All 6 AI Code Review MCP Server tools

WRITE 1 tools

Write github_create_review Create a review on a pull request with optional line comments

READ 5 tools

Read fs_list_files List files in a directory Read fs_read_file Read file contents from workspace Read fs_search_files Search for files by pattern (e.g., .js, .py) Read github_get_pr Get pull request details Read github_list_prs List pull requests in a repository

FAQ

Questions about AI Code Review MCP Server

How do I prevent bulk modifications through AI Code Review MCP Server? +

The AI Code Review MCP Server server has 1 write tools including github_create_review. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach AI Code Review MCP Server.

How many tools does the AI Code Review MCP Server MCP server expose? +

6 tools across 2 categories: Read, Write. 5 are read-only. 1 can modify, create, or delete data.

How do I enforce a policy on AI Code Review MCP Server? +

Register the AI Code Review MCP Server MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every AI Code Review MCP Server tool call.

Deterministic rules across all 6 AI Code Review MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON AI CODE REVIEW →

Instant setup, no code required.

6 AI Code Review MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.