Dashboard to visualize Claude Code data

A centralized dashboard to view all projects, MCP servers, sessions, and costs known by Claude Code.

Visualize Claude Code Data with the Claude Command Center

For developers leveraging Claude Code, managing and understanding project data, server activity, and associated costs can become complex. The Claude Command Center, hosted on GitHub, provides a centralized dashboard designed to offer a clear, visual overview of all your Claude Code-related operations. This tool aims to streamline your workflow by consolidating information that is otherwise dispersed, allowing for more efficient monitoring and decision-making.

What it Does

The Claude Command Center acts as a single pane of glass for your Claude Code ecosystem. It aggregates data from various sources, including your projects, active MCP servers, ongoing sessions, and the associated costs incurred. By presenting this information in a unified dashboard, developers can gain immediate insights into their resource utilization, project status, and financial expenditures without needing to navigate multiple interfaces or manually compile reports.

Key Features

Centralized Project Overview: View all your active and completed Claude Code projects in one place.
MCP Server Monitoring: Track the status and activity of your MCP servers.
Session Tracking: Monitor active and historical sessions for better understanding of usage patterns.
Cost Visualization: Gain clear visibility into the costs associated with your Claude Code usage and server infrastructure.
GitHub Hosted: Access the source code and contribute to the development of this open-source tool.

Who it's For

This tool is specifically designed for AI developers, engineers, and project managers who are actively using or managing Claude Code. If you are responsible for deploying, monitoring, or optimizing Claude Code projects, managing MCP servers, or tracking the financial implications of your AI development efforts, the Claude Command Center will be an invaluable asset. It is particularly useful for those managing multiple projects or complex server infrastructures where data consolidation is crucial for efficient operation and cost control.