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@agentrq/codex-gateway

v0.1.2

Published

MCP bridge CLI for agentrq workspaces using OpenAI Codex

Readme

@agentrq/codex-gateway

MCP bridge CLI that connects OpenAI Codex to agentrq workspaces.

[!WARNING] Pre-Alpha: This project is in early development. APIs, configurations, and behaviors are subject to change without notice.

Overview

@agentrq/codex-gateway bridges the Model Context Protocol (MCP) with the Codex app-server protocol (JSON-RPC 2.0 over stdio).

It automates task execution by:

  1. Loading your workspace's .mcp.json configuration.
  2. Connecting to the agentrq MCP server.
  3. Spawning codex app-server as a subprocess.
  4. Routing tasks from agentrq to Codex threads/turns.
  5. Collecting agent replies and sending them back to agentrq.
  6. Auto-reconnecting the MCP transport on disconnection.

Prerequisites

  • Node.js >= 20
  • OpenAI Codex CLI (npm install -g @openai/codex)
  • An agentrq workspace with an HTTP MCP server

Installation

npm install -g @agentrq/codex-gateway@latest

Setup

1. Configure agentrq MCP server for Codex (project-level)

Codex reads project-level MCP server config from .codex/config.toml. Create this file so the Codex agent can use agentrq tools directly during task execution (replace <WORKSPACEID> and <TOKEN> with your values from the agentrq dashboard):

mkdir -p .codex
cat >> .codex/config.toml << 'EOF'

[mcp_servers.agentrq-workspace]
url = "https://<WORKSPACEID>.mcp.agentrq.com/mcp?token=<TOKEN>"
EOF

2. Configure the gateway's agentrq connection

Create a .mcp.json in your project root so codex-gateway can connect to the same agentrq workspace:

{
  "mcpServers": {
    "agentrq": {
      "type": "http",
      "url": "https://<WORKSPACEID>.mcp.agentrq.com/mcp?token=<TOKEN>"
    }
  }
}

Note: .mcp.json is used by codex-gateway to receive tasks. .codex/config.toml is used by the Codex agent itself to call agentrq tools (e.g. reply, updateTaskStatus) during execution.

Usage

Run codex-gateway from your agentrq workspace root (the directory containing .mcp.json):

# Default: runs `codex app-server`
codex-gateway

# Custom codex command
codex-gateway -- codex app-server

Environment Variables

| Variable | Description | Default | |---|---|---| | CODEX_MODEL | Override the model used for all threads/turns | (codex default) |

Configuration

codex-gateway searches for .mcp.json starting in the current working directory and up to 3 parent directories.

Example .mcp.json:

{
  "mcpServers": {
    "agentrq": {
      "type": "http",
      "url": "https://your-workspace.mcp.agentrq.com?token=..."
    }
  }
}

codex-gateway prefers servers with agentrq in the name; falls back to the first HTTP server with a url.

How It Works

┌──────────────────────────┐    JSON-RPC 2.0 / JSONL     ┌─────────────────┐
│  codex app-server        │ ◄─────────────────────────► │                 │
│  (OpenAI Codex agent)    │                             │  codex-gateway  │
└──────────────────────────┘                             │                 │
                                                         │  MCP Bridge     │
                                                         │                 │
                                     ┌───────────────────┤                 │
                                     │                   │                 │
                                     ▼                   └─────────────────┘
                        ┌───────────────────────────┐
                        │  agentrq MCP Server       │
                        │  (HTTP / StreamableHTTP)  │
                        └───────────────────────────┘

Flow

  1. Config Loading — Reads .mcp.json to find the agentrq MCP server.
  2. MCP Connection — Establishes a StreamableHTTPClientTransport with automatic retry and reconnection.
  3. Codex Spawning — Launches codex app-server via stdio.
  4. Handshake — Sends initialize + initialized to the Codex app-server.
  5. Task Routing — When a task arrives from agentrq:
    • Extracts chat_id as the task identifier.
    • Creates a new Codex thread for the chat (or reuses one if the same chat_id arrives again).
    • Starts a turn with the task content.
    • Streams item/agentMessage/delta notifications into a reply buffer.
  6. Reply — When turn/completed fires, sends the buffered text back via agentrq's reply tool.
  7. Recursive Execution — After each task, checks for the next pending task automatically.

Key Components

| File | Description | |---|---| | src/index.ts | Entry point; orchestrates config loading, MCP connection, Codex spawning, and task lifecycle. | | src/codexClient.ts | JSON-RPC 2.0 client for the Codex app-server — handles JSONL I/O, request correlation, and turn completion. | | src/mcpClient.ts | EventEmitter-based MCP client with auto-reconnection, notification handling, and tool call dispatch. | | src/config.ts | Parses .mcp.json from the current directory tree up to 3 levels deep. | | src/taskIdentity.ts | Extracts chat_id from MCP notification metadata or task text. |

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Type-check
npm run typecheck

# Run tests
npm test

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add: amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Contributing License

By contributing to this project, you agree that your contributions will be licensed under the project's Apache License 2.0.


License

Apache License 2.0

Copyright (c) 2026 Contextual, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.