codex-code-review

codex-code-review

Enables Codex CLI to perform code reviews on uncommitted changes via an MCP tool, keeping review context separate from the main session.

Category
访问服务器

README

Codex MCP Code Review

Run Codex app-server reviews of uncommitted changes via an MCP tool. Compared to the built-in /review, this keeps review context clean while fixes happen in the main session that retains implementation knowledge, reducing regressions and enabling longer autonomous runs with better code quality.

Requirements

  • Codex CLI installed and authenticated.
  • uv installed.

Configure Codex (MCP)

Codex loads MCP servers from ~/.codex/config.toml and supports configuring them via the codex mcp CLI.

Review profile (recommended)

Profile example (gpt-5.5, medium reasoning effort):

# ~/.codex/config.toml
[profiles.review]
model = "gpt-5.5"
model_reasoning_effort = "medium"

When the MCP server is started with --profile review, it reads this profile from Codex config and applies supported review settings itself. Supported profile keys are model, model_provider, service_tier, model_reasoning_effort, and model_reasoning_summary.

AGENTS.md example instruction:

for verification call `review_uncommitted_changes: runs=1` until no issues

Tool timeout (required)

Set tool_timeout_sec for the MCP server in ~/.codex/config.toml to a value larger than the review timeout (--timeout-seconds passed to the server command). Example: if the review timeout is 2700 seconds, set tool_timeout_sec = 3000.

Option A: CLI (recommended)

This registers a stdio MCP server that Codex launches when a session starts.

codex mcp add codex-code-review -- \
  uv run -m mcp_code_review.server --parallelism 1 --concurrency-mode auto --timeout-seconds 2700 \
  --profile review

The codex mcp add workflow is the supported way to add MCP servers from the CLI. After adding the server, set tool_timeout_sec in ~/.codex/config.toml (see Option B) so it is higher than --timeout-seconds.

Additional review instructions are enabled by default. Existing configurations that include --enable additional_review_instructions still work for backward compatibility.

To disable additional review instructions, add:

--disable additional_review_instructions

Option B: config.toml

Add an MCP server entry in ~/.codex/config.toml:

[mcp_servers.codex-code-review]
command = "uv"
tool_timeout_sec = 3000
args = [
  "run",
  "-m",
  "mcp_code_review.server",
  "--parallelism",
  "1",
  "--concurrency-mode",
  "auto",
  "--timeout-seconds",
  "2700",
  "--profile",
  "review"
]

Codex reads MCP server entries from the mcp_servers table in ~/.codex/config.toml.

Configure with uvx (run directly from Git)

If you prefer not to clone locally, you can run the server directly from the Git repository using uvx.

Repository: https://github.com/Szpadel/codex-mcp-code-review

Codex (CLI)

codex mcp add codex-code-review-uvx -- \
  uvx --from git+https://github.com/Szpadel/codex-mcp-code-review \
  python -m mcp_code_review.server --parallelism 1 --concurrency-mode auto --timeout-seconds 2700 \
  --profile review

Codex (config.toml)

[mcp_servers.codex-code-review-uvx]
command = "uvx"
tool_timeout_sec = 3000
args = [
  "--from",
  "git+https://github.com/Szpadel/codex-mcp-code-review",
  "python",
  "-m",
  "mcp_code_review.server",
  "--parallelism",
  "1",
  "--concurrency-mode",
  "auto",
  "--timeout-seconds",
  "2700",
  "--profile",
  "review"
]

Claude Code (.mcp.json)

{
  "mcpServers": {
    "codex-code-review-uvx": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/Szpadel/codex-mcp-code-review",
        "python",
        "-m",
        "mcp_code_review.server",
        "--parallelism",
        "1",
        "--concurrency-mode",
        "auto",
        "--timeout-seconds",
        "2700",
        "--profile",
        "review"
      ],
      "env": {}
    }
  }
}

Developer mode (run from source path)

If you want Codex to run the server directly from this source checkout, point uv at the project path.

CLI

codex mcp add codex-code-review-dev -- \
  uv run --project /absolute/path/to/codex-mcp-code-review -m mcp_code_review.server \
  --parallelism 1 --concurrency-mode auto --timeout-seconds 2700 --profile review

config.toml

[mcp_servers.codex-code-review-dev]
command = "uv"
tool_timeout_sec = 3000
args = [
  "run",
  "--project",
  "/absolute/path/to/codex-mcp-code-review",
  "-m",
  "mcp_code_review.server",
  "--parallelism",
  "1",
  "--concurrency-mode",
  "auto",
  "--timeout-seconds",
  "2700",
  "--profile",
  "review"
]

Tool behavior

  • Tool name: review_uncommitted_changes.
  • Uses the native app-server review target uncommittedChanges (includes untracked files).
  • Additional review instructions are enabled by default, exposing the additional_developer_instructions tool argument.
  • When that argument is set, the server switches that run to a custom review target prompt built from a synced copy of Codex's native uncommitted-changes instructions and appends an Additional review instructions: section.
  • Existing --enable additional_review_instructions usage is still accepted for backward compatibility.
  • When disabled with --disable additional_review_instructions, the tool schema does not advertise additional_developer_instructions, and requests that send it anyway are rejected.
  • Default runs: 4 (override by setting --parallelism on the MCP server config).
  • Sandbox: read-only; approval policy: never.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选