Python MCP Server

Professional MCP Server Troubleshooter

Complete troubleshooting solution with 8 diagnostic tools: system monitoring, log analysis, network diagnostics, and process management.

Monthly DownloadsPyPI VersionPython Versions
$uvx troubleshooting-mcp-server
MCP Server Troubleshooter in action

Let your AI agent

check your system information
36d19h51m24s
Time Since Launch

Quick Installation

Get started in seconds with your preferred installation method

uvx (Recommended)

Quick install without installation

uvx troubleshooting-mcp-server

pip

Install as a Python package

pip install troubleshooting-mcp-server

Configure Claude Desktop

Add this configuration to your Claude Desktop config file:

{ "mcpServers": { "troubleshooting": { "command": "uvx", "args": ["troubleshooting-mcp-server"], "env": { "FASTMCP_LOG_LEVEL": "ERROR" } } } }

Powerful Diagnostic Tools

8 comprehensive tools for system diagnostics and troubleshooting, designed to help you identify and resolve issues quickly.

System Information

Get OS, hardware, and software details

Resource Monitoring

Monitor CPU, memory, and disk usage

Log File Management

Read and tail log files with security

Network Diagnostics

Test network connectivity and status

Process Management

Check running processes and status

Environment Analysis

Analyze environment variables and tools

Safe Command Execution

Execute diagnostic commands safely

Log File Discovery

Locate application log files

Frequently Asked Questions

Everything you need to know about the Troubleshooting MCP Server and how it can help you diagnose and resolve system issues

What is the Troubleshooting MCP Server?
The Troubleshooting MCP Server is a professional diagnostic tool that provides 8 comprehensive utilities for system monitoring, log analysis, network diagnostics, and process management. It's designed to work seamlessly with Claude Desktop and other MCP-compatible clients to help developers and system administrators troubleshoot issues efficiently.
How do I install the MCP server?
Installation is simple! We recommend using uvx for the quickest setup: just run 'uvx troubleshooting-mcp-server'. Alternatively, you can install via pip with 'pip install troubleshooting-mcp-server'. Both methods take less than a minute and require Python 3.8 or higher.
Is the MCP server compatible with Claude Desktop?
Yes! The server is fully compatible with Claude Desktop. Simply add the configuration to your Claude Desktop config file, and you'll be able to use all diagnostic tools through natural language commands. The server follows the standard MCP protocol and works with any MCP-compliant client.
What diagnostic tools are included?
The server includes 8 powerful tools: System Information (OS and hardware details), Resource Monitoring (CPU, memory, disk usage), Log File Management (read and tail logs), Network Diagnostics (connectivity testing), Process Management (check running processes), Environment Analysis (check installed tools), Safe Command Execution (run diagnostic commands), and Log File Discovery (locate application logs).
Is it safe to use on production systems?
Yes, the server is designed with security in mind. All operations are read-only by default, with strict path validation for log file access. It respects file system permissions and includes built-in safety limits (like 10MB file size limits). The server only accesses allowed directories and never modifies system files without explicit permission.
What platforms are supported?
The MCP server supports macOS (10.15+), Linux (Ubuntu 18.04+, CentOS 7+), and Windows (10+). It works on any system with Python 3.8 or higher. The server is lightweight, requiring only 50MB of RAM and 10MB of disk space, making it suitable for both development machines and production servers.
Can I use it without Claude Desktop?
Absolutely! While it's optimized for Claude Desktop, the server works with any MCP-compliant client. You can also use it as a standalone command-line tool for quick diagnostics. The server follows the standard Model Context Protocol, making it compatible with a wide range of AI assistants and development tools.
Is the MCP server open source?
Yes! The Troubleshooting MCP Server is open source and available on PyPI. You can view the source code, contribute improvements, report issues, and suggest new features. We welcome community contributions and actively maintain the project with regular updates and bug fixes.