MCP Server for Claude Code and Codex

MCP Server for Claude Code and Codex

This MCP server is an open-source implementation designed to streamline agent development and exploration, specifically for Claude Code and Codex models. By providing a structured environment for agent interaction and observation, it aims to significantly reduce the time developers spend understanding and debugging agent behavior. This tool is built for developers who need to iterate quickly on AI agent designs and require detailed insights into their execution flow.

What it Does

The MCP Server acts as a central hub for your AI agents. It intercepts and logs all communication between an agent and its environment, as well as internal agent states. This detailed logging allows developers to replay agent interactions, analyze decision-making processes, and identify bottlenecks or errors. It's particularly useful for agents that interact with external tools or APIs, providing a clear trace of every action taken and its outcome.

Key Features

• Open-Source: Full access to the codebase for customization and understanding.
• Agent Exploration Reduction: Designed to accelerate the process of understanding agent behavior.
• Detailed Logging: Captures all agent-environment and internal agent communications.
• Replay Functionality: Enables re-execution of logged agent interactions for debugging.
• Claude Code & Codex Support: Optimized for use with these specific AI models.

Who it's For

This tool is intended for AI developers, researchers, and engineers working with large language models, particularly Claude Code and Codex. It is ideal for those building complex AI agents that require extensive testing, debugging, and performance optimization. If you are involved in agent-based AI development and are looking for a robust solution to gain deeper visibility into your agents' operations, this MCP server will be a valuable asset.