JSON Logs MCP Server

what is JSON Logs MCP Server?

JSON Logs MCP Server is a Model Context Protocol (MCP) server designed for reading and analyzing JSON-formatted log files, enabling users to efficiently search, filter, aggregate, and analyze structured log data.

how to use JSON Logs MCP Server?

To use the server, clone the repository, set up a Python virtual environment, install the package, and configure the log directory and MCP client settings. You can then run the server and interact with it through commands in the MCP client.

key features of JSON Logs MCP Server?

• 📁 Browse log files - List and read JSON-formatted log files.
• 🔍 Search and filter - Query logs by level, module, function, message content, and time range.
• 📊 Aggregate data - Group and analyze logs by various criteria.
• 📈 Statistics - Get comprehensive statistics about your log data.
• 🚀 Fast and efficient - Optimized for handling large log files.

use cases of JSON Logs MCP Server?

1. Analyzing application logs for error patterns.
2. Monitoring system performance through log statistics.
3. Debugging issues by tracing log entries related to specific events.

FAQ from JSON Logs MCP Server?

• Can I use JSON Logs MCP Server with any MCP client?

Yes! It is compatible with Claude Desktop and other MCP clients.

• What log formats does the server support?

The server expects JSON log files with one JSON object per line, including specific required fields.

• Is there a limit to the size of log files?

While the server can handle large log files, performance may vary based on file size and system resources.