MCP Server: Analyze & Debug MCP Logs
@klara-research
An MCP server to read MCP logs to debug directly inside the client
Overview
What is MCP Server: Analyze & Debug MCP Logs?
MCP Server: Analyze & Debug MCP Logs is a specialized MCP server that helps you analyze and debug Model Context Protocol logs. It provides Claude with direct access to log files, making it easy to troubleshoot MCP integrations and understand how Claude interacts with your tools.
How to use MCP Server: Analyze & Debug MCP Logs?
Install via Smithery (npx -y @smithery/cli install @klara-research/MCP-Analyzer --client claude) or manually from GitHub, then add the server to your Claude Desktop configuration with the log-reader entry. Once connected, ask Claude to use the log reader tool with optional parameters such as lines, filter, customPath, fileLimit, and page.
Key features of MCP Server: Analyze & Debug MCP Logs
- Multi-platform support: macOS, Windows, and Linux
- Smart filtering with case-insensitive text search
- Paginated browsing of large log collections
- Intelligent truncation for large log files
- Seamless Claude Desktop integration
Use cases of MCP Server: Analyze & Debug MCP Logs
- Troubleshoot MCP integration errors by reading logs
- Filter logs for specific terms like "error" or "connection"
- Analyze initialization issues with custom line limits
- Browse recent MCP activity across multiple log files
- Understand how Claude interacts with connected tools
FAQ from MCP Server: Analyze & Debug MCP Logs
What platforms does it support?
It works on macOS, Windows, and Linux with platform-specific log paths.
How do I install it?
Install automatically via Smithery or manually by cloning the GitHub repository, running npm i and npx tsc, then adding the server configuration to Claude Desktop.
What parameters can I use?
Available parameters: lines (default 100), filter (case-insensitive text), customPath, fileLimit (default 5), and page (default 1).
How does it handle large log files?
It uses intelligent truncation to prevent overwhelming responses while preserving the most relevant content.
Is any authentication required?
No authentication is needed; the server reads local log files from standard OS locations.
