melisasvr/Local-Log-Observability-Analyzer-MCP-Server
Overview
melisasvr/Local-Log-Observability-Analyzer-MCP-Server is a Python MCP server.
Ranked #100 out of 104 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Python No license
Score Breakdown
Stars 15% 1
1 stars → early stage
Freshness 25% today
Last commit today → actively maintained
Issue Health 25% 50%
No issues filed → no history to score
Contributors 10% 1
1 contributor → solo project
Dependents 25% 0
No dependents → no downstream usage
Forks 0
Description None
License None
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
Description low impact
License low impact
Contributors medium impact
Matched Queries
From the README
# 🔍 Local Log & Observability Analyzer-MCP Server **Zero-cost · Fully local · No external APIs · Pure Python stdlib** - Turn raw log chaos into actionable insights. Point any MCP-compatible AI client at this server and ask natural questions like: - *"What's wrong with my app.log in the last 10 minutes?"* - *"Are there any error bursts or anomalies in my syslog?"* - *"Compare today's logs to yesterday's and tell me what changed."* - *"Set an alert if OutOfMemory appears and check it now."* --- ## 📦 Project Structure ``` log_analyzer_mcp/ ├── server.py ← MCP server (10 tools, pure stdlib) ├── generate_sample_logs.py ← Creates realistic test log files ├── test_client.py ← CLI harness to call every tool directly ├── mcp_config.json ← Paste-ready config for Claude Desktop / Cursor └── README.md ``` --- ## 🚀 Quick Start ### 1. Generate test logs (optional but recommended) ```bash python generate_sample_logs.py # Creates: sample_logs/app.log, syslog.lRead full README on GitHub →
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