Overview

The MCP Server is an essential tool for developers and IT professionals who need to analyze and debug Model Context Protocol (MCP) logs. This powerful server offers a comprehensive solution for reading, filtering, and managing large collections of log files, making it an invaluable asset for troubleshooting MCP integrations and understanding how AI agents like Claude interact with various tools.

Key Features

• Multi-platform Support: The MCP Server is designed to work seamlessly across macOS, Windows, and Linux, ensuring that no matter what operating system you’re using, you can access and analyze your logs efficiently. Each platform has its own specific log paths, making it easy to locate and manage files.

• Smart Filtering: With case-insensitive text search capabilities, you can quickly find specific log entries, saving time and improving the accuracy of your troubleshooting efforts.

• Paginated Browsing: Navigate through large log collections with ease, thanks to the server’s paginated browsing feature. This allows you to view logs in manageable chunks, preventing information overload and ensuring that you can focus on the most relevant data.

• Size Management: The MCP Server intelligently truncates large log files, ensuring that you can handle substantial amounts of data without overwhelming your system or slowing down your analysis.

• Seamless Claude Integration: Designed to work directly with Claude Desktop, the MCP Server provides a streamlined experience for users who rely on Claude for their AI needs. This integration ensures that you can easily access and analyze logs in conjunction with Claude’s powerful AI capabilities.

Use Cases

1. Troubleshooting MCP Integrations: By providing direct access to log files, the MCP Server helps you quickly identify and resolve issues with your MCP integrations, ensuring smooth operation and optimal performance.

2. Understanding AI Interactions: Gain valuable insights into how AI agents like Claude interact with your tools and systems by analyzing MCP logs. This understanding can help you optimize your AI implementations and improve overall efficiency.

3. Efficient Log Management: With its advanced filtering and pagination features, the MCP Server makes it easy to manage large collections of log files, ensuring that you can find and analyze the data you need without unnecessary hassle.

4. Cross-Platform Compatibility: Whether you’re working on macOS, Windows, or Linux, the MCP Server provides a consistent and reliable log analysis experience, making it a versatile tool for developers and IT professionals across different environments.

UBOS Platform

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems. The MCP Server is an integral part of this ecosystem, providing the tools you need to analyze and debug your AI implementations effectively.

Quick Start Guide

To get started with the MCP Server, simply clone the repository from GitHub and install the necessary dependencies. Once installed, you can build and run the server, adding it to your Claude Desktop configuration to begin analyzing your MCP logs.

# Clone the repository
git clone https://github.com/klara-research/MCP-Analyzer.git
cd MCP-Analyzer

# Install dependencies
npm i

# Compile TypeScript
npx tsc

Conclusion

The MCP Server is a powerful and versatile tool for anyone working with MCP logs. Its multi-platform support, smart filtering, and seamless integration with Claude Desktop make it an essential part of any developer’s toolkit. By providing valuable insights into AI interactions and helping you troubleshoot MCP integrations, the MCP Server ensures that you can optimize your AI implementations and improve overall system performance.