MCP-Codex: MCP Tool Orchestration

@twolven

Repository

Basic information

About MCP-Codex: MCP Tool Orchestration

A MCP server for calling MCP tools remotely without requiring installation.

#mcp-codex#tool-orchestration#ai-assistant

MCP-Codex: MCP Tool Orchestration config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-codex": {
      "command": "python",
      "args": [
        "codex-serv.py"
      ]
    }
  }
}

MCP-Codex: MCP Tool Orchestration tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-Codex: Model Context Protocol Tool Orchestration?

MCP-Codex is a service for orchestrating Model Context Protocol (MCP) servers, allowing AI assistants to dynamically discover and utilize tools without requiring restarts. It features “The Librarian,” an intelligent agent that understands user needs and connects them with the right tools. This project is discontinued and shared as an educational resource.

How to use MCP-Codex: Model Context Protocol Tool Orchestration?

Install by cloning the repository, running pip install -r requirements.txt, creating config, data, logs, tools directories, and configuring the .env file. Start the Codex Service with python codex-serv.py and the MCP Client with python mcp-codex.py. For Claude Desktop, use mcp install mcp-codex.py. The client registers two tools: search (find tools for a task) and call_tool (execute discovered tools).

Key features of MCP-Codex: Model Context Protocol Tool Orchestration

Dynamic tool discovery without restarting the AI assistant
Centralized management of MCP tools
Remote execution of tools beyond the local machine
Intelligent agent “The Librarian” for context-aware recommendations
Standardized interface for tool search and execution

Use cases of MCP-Codex: Model Context Protocol Tool Orchestration

An AI assistant dynamically finds and calls a stock analysis tool like StockFlow
Options trading analysis and strategy evaluation via OptionsFlow
Code management, editing, and execution with CodeSavant tools
Stock screening and filtering using StockScreen capabilities
General use: any task where an AI needs to discover and run MCP tools on demand

Frequently asked questions

What problem does MCP-Codex solve?

Traditional MCP implementations require static configuration and restarting the assistant when adding new tools. MCP-Codex enables dynamic discovery and execution, reducing operational complexity.

What are the main components?

The project consists of the Codex Service (core execution), the Librarian Service (planned AI-powered tool recommendation), and the MCP Client (interface for AI assistants).

How does tool discovery work?

The AI assistant uses the `search` tool to find relevant capabilities via natural language, then executes the discovered tool through the `call_tool` tool, which the Codex Service handles.

Is this project still actively developed?

No. This project was discontinued after Cloudflare released a similar service. The code is shared as an educational resource and example of MCP orchestration architecture.

What are the dependencies and runtime requirements?

Python 3.10+ and required packages from `requirements.txt`. The tool registry is configured in `config/codex.yaml` and the environment via a `.env` file.

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