mcp-troubleshooter-mcp
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A self-diagnostic framework for AI models that enables them to diagnose and fix MCP-related issues.
MCP Troubleshooter is a specialized MCP server that transforms troubleshooting from a developer-only task into a capability the AI itself can leverage. It allows AI models to analyze MCP logs, validate configurations, test connections, generate templates, and fix common issues. This tool is designed to automate the diagnostic process, making it easier for AI models to identify and resolve problems without human intervention. By integrating with AI models, MCP Troubleshooter enhances their ability to maintain and optimize MCP server operations, ensuring smoother and more reliable performance.
Features
- Analyze MCP logs - Automatically scan for common error patterns and provide insightful diagnostics.
- Validate configurations - Check server configurations against best practices and identify issues.
- Test connections - Verify network connectivity and server availability.
- Generate templates - Create working MCP server configurations for quick setup.
- Fix common issues - Update configurations and implement solutions directly.
Tools
Log Management Tools
Tools for retrieving and analyzing MCP log files.
Configuration Tools
Tools for extracting, validating, and updating MCP configurations.
Connection Testing Tools
Tools for checking port availability and verifying MCP server processes.
Fix Implementation Tools
Tools for generating server templates and optimized configuration files.