Which integrations are available for this server?

Enables parsing and analysis of Apache web server logs to identify request patterns and troubleshoot errors. Provides tools to analyze Docker container logs, including support for timestamp extraction and log stream identification. Facilitates debugging in containerized environments by parsing and analyzing Kubernetes-formatted log files. Enables parsing and analysis of NGINX web server logs to identify request patterns and troubleshoot errors.

How do I use Log Analyzer MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Log Analyzer MCP Find and group the most frequent errors in /var/log/app.log" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Log Analyzer MCP

MCP Registry PyPI version PyPI Downloads License: MIT Python 3.10+ GitHub stars

🔍 Stop copy-pasting logs into AI. Let Claude read them directly.

An MCP server for AI-powered log analysis. Parse, search, and debug log files across 9+ formats — right from Claude Code.

📊 At a Glance


14 MCP tools	9+ log formats
280 tests	81%+ coverage

🎬 Demo

Log Analyzer MCP Demo

Analyzing logs with 14 specialized tools

🤔 Why?

Without log-analyzer-mcp	With log-analyzer-mcp
Copy-paste chunks of logs	Point Claude at the file
Lose context between pastes	Full file access
Manual format parsing	Auto-detection
Miss related errors	Smart correlation

✨ Features

Auto-Detection — Identifies format from 9+ common log types
Smart Search — Pattern matching with context, regex, and time filtering
Error Extraction — Groups similar errors, captures stack traces
Natural Language — Ask questions like "what errors happened today?"
Sensitive Data Scan — Detect PII, credentials, and secrets
Multi-File Analysis — Correlate events across distributed systems
Streaming — Handles 1GB+ files without memory issues

🚀 Quick Start

# Install (adds to Claude Code automatically) uvx codesdevs-log-analyzer install

Then in Claude Code:

Analyze /var/log/app.log and tell me what's causing the errors

📦 Installation

One-liner (Recommended)

uvx codesdevs-log-analyzer install

Manual

# pip pip install codesdevs-log-analyzer # uv uv tool install codesdevs-log-analyzer

Add to ~/.claude/settings.json:

{ "mcpServers": { "log-analyzer": { "command": "uvx", "args": ["codesdevs-log-analyzer"] } } }

📋 Supported Formats

Format	Example
Syslog	`Jan 15 10:30:00 hostname process[pid]: message`
Apache/Nginx	`127.0.0.1 - - [15/Jan/2026:10:30:00] "GET /path" 200`
JSON Lines	`{"timestamp": "...", "level": "ERROR", "message": "..."}`
Docker	`2026-01-15T10:30:00.123Z stdout message`
Python	`2026-01-15 10:30:00,123 - module - ERROR - message`
Java/Log4j	`2026-01-15 10:30:00,123 ERROR [thread] class - message`
Kubernetes	`level=error msg="..." ts=2026-01-15T10:30:00Z`
Generic	Any line with recognizable timestamp

⚡ Performance

Metric	Value
100MB log file	< 10 seconds
Memory footprint	Streaming (no full load)
Max tested size	1GB+
Format detection	< 100ms

🛠️ Available Tools

Tool	Description
`log_analyzer_parse`	Detect format and extract metadata
`log_analyzer_search`	Search with context lines
`log_analyzer_extract_errors`	Extract and group errors
`log_analyzer_summarize`	Generate debugging summary
`log_analyzer_correlate`	Find related events
`log_analyzer_watch`	Monitor for new entries
`log_analyzer_ask`	Natural language queries
`log_analyzer_scan_sensitive`	Detect PII/credentials
+ 6 more	Full reference →

💡 Examples

Find errors:

Extract all errors from /var/log/app.log, group similar ones

Search with context:

Search for "timeout" in app.log with 5 lines of context

Correlate events:

What happened 60 seconds before each OutOfMemoryError?

Scan for secrets:

Check /var/log/app.log for accidentally logged credentials

🔧 Development

git clone https://github.com/Fato07/log-analyzer-mcp cd log-analyzer-mcp uv sync uv run pytest -v --cov

📈 Star History

📄 License

MIT License - see LICENSE for details.

Install Server

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

How are these scores calculated?

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Log Analyzer MCP

Log Analyzer MCP

📊 At a Glance

🎬 Demo

🤔 Why?

✨ Features

🚀 Quick Start

📦 Installation

One-liner (Recommended)

Manual

📋 Supported Formats

⚡ Performance

🛠️ Available Tools

💡 Examples

🔧 Development

📈 Star History

📄 License

Resources

Tools

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