MCP SiftCurated directory

Codex MCP Wrapper

by teabranch

MCP 服务器，封装 OpenAI Codex CLI 并暴露 MCP API。需要全局安装 Node.js 22 和 OpenAI Codex CLI。可选使用位于 .agent/ 目录下的 mcps.json 配置文件，用于注册 MCP 工具。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-08

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Overview

The Codex MCP Wrapper MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Codex MCP Wrapper repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

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模型上下文协议服务器

modelcontextprotocol

Community

一组用于模型上下文协议（MCP）的参考实现，展示了对大型语言模型（LLM）工具和数据源的安全且受控的访问方式。

Developer tools

Context7 Platform - Up-to-date Code Docs For Any Prompt

upstash

Community

Context7 MCP server providing up-to-date, version-specific documentation and code examples for libraries, enabling coding agents to fetch accurate docs and code snippets. Requires an API key for higher rate limits, passed via CONTEXT7_API_KEY header.

Developer tools

Playwright MCP

Microsoft Corporation

Community

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

Developer tools

AIHawk

feder-cr

Community

AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.

Developer tools
FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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Agentic Developer MCP

This project wraps OpenAI's Codex CLI as an MCP (Model Context Protocol) server, making it accessible through the TeaBranch/open-responses-server middleware.
This engine may be replaced with OpenCode or Amazon Strands

Requirements

  • Node 22 (nvm install 22.15.1 | nvm use 22.15.1) required for Codex

Overview

The setup consists of three main components:

  1. Codex CLI: OpenAI's command-line interface for interacting with Codex.
  2. MCP Wrapper Server: A Node.js Express server that forwards MCP requests to Codex CLI and formats responses as MCP.
  3. open-responses-server: A middleware service that provides Responses API compatibility and MCP support.

Installation

# Clone this repository
git clone https://github.com/yourusername/codex-mcp-wrapper.git
cd codex-mcp-wrapper

# Start the services
./start.sh

This will start:

  • Codex MCP wrapper on port 8080
  • open-responses-server on port 3000

Manual Installation

# Install dependencies
npm install

# Install Codex CLI globally
npm install -g @openai/codex

# Start the MCP server
node mcp-server.js
# Install the package in development mode
pip install -e .

Usage

You can run the MCP server using either stdio or SSE transport:

# Using stdio (default)
python -m mcp_server

# Using SSE on a specific port
python -m mcp_server --transport sse --port 8000

Tool Documentation

run_codex

Clones a repository, checks out a specific branch (optional), navigates to a specific folder (optional), and runs Codex with the given request.

Parameters
  • repository (required): Git repository URL
  • branch (optional): Git branch to checkout
  • folder (optional): Folder within the repository to focus on
  • request (required): Codex request/prompt to run
Example
{
  "repository": "https://github.com/username/repo.git",
  "branch": "main",
  "folder": "src",
  "request": "Analyze this code and suggest improvements"
}

clone_and_write_prompt

Clones a repository, reads the system prompt from .agent/system.md, parses modelId from .agent/agent.json, writes the request to a .prompt file, and invokes the Codex CLI with the extracted model.

Parameters
  • repository (required): Git repository URL
  • request (required): Prompt text to run through Codex
  • folder (optional, default /): Subfolder within the repository to operate in
Example
{
  "repository": "https://github.com/username/repo.git",
  "folder": "src",
  "request": "Analyze this code and suggest improvements"
}

MCPS Configuration

Place a mcps.json file under the .agent/ directory to register available MCP tools. Codex will load this configuration automatically.

Example .agent/mcps.json:

{
  "mcpServers": {
    "agentic-developer-mcp": {
      "url": "..."
    }
  }
}

Development

This project uses the MCP Python SDK to implement an MCP server. The primary implementation is in mcp_server/server.py.

License

MIT