agentic-developer-mcp
An MCP server that scales development into controllable agentic, recursive flows, and build a feature from bottom-up
Install / Use
claude mcp add teabranch -- npx -y github:teabranch/agentic-developer-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Skill content
View source on GitHubAgentic 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:
- Codex CLI: OpenAI's command-line interface for interacting with Codex.
- MCP Wrapper Server: A Node.js Express server that forwards MCP requests to Codex CLI and formats responses as MCP.
- open-responses-server: A middleware service that provides Responses API compatibility and MCP support.
Installation
Using Docker (Recommended)
# 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 URLbranch(optional): Git branch to checkoutfolder(optional): Folder within the repository to focus onrequest(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 URLrequest(required): Prompt text to run through Codexfolder(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
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