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  3. Log Analyzer Mcp
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Health: ActiveRecent health check succeeded.Last checked 8/10/2026, 11:58:53 PM

Log Analyzer Mcp

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).

AI-powered log analysis - parse, search, extract errors across 9+ formats

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "log-analyzer-mcp": {
      "command": "uvx",
      "args": [
        "codesdevs-log-analyzer"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Log Analyzer MCP

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

πŸ” 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 β€” right from Claude Code.

πŸ“Š At a Glance

14 MCP tools9+ log formats
280 tests81%+ coverage

🎬 Demo

Log Analyzer MCP Demo

Analyzing logs with 14 specialized tools

πŸ€” Why?

Without log-analyzer-mcpWith log-analyzer-mcp
Copy-paste chunks of logsPoint Claude at the file
Lose context between pastesFull file access
Manual format parsingAuto-detection
Miss related errorsSmart correlation

✨ Features

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

πŸš€ Quick Start

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

Then in Claude Code:

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

πŸ“¦ Installation

One-liner (Recommended)

bash
uvx codesdevs-log-analyzer install

Manual

pip / uv / Claude Code config
bash
# pip
pip install codesdevs-log-analyzer

# uv
uv tool install codesdevs-log-analyzer

Add to ~/.claude/settings.json:

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

πŸ“‹ Supported Formats

FormatExample
SyslogJan 15 10:30:00 hostname process[pid]: message
Apache/Nginx127.0.0.1 - - [15/Jan/2026:10:30:00] "GET /path" 200
JSON Lines{"timestamp": "...", "level": "ERROR", "message": "..."}
Docker2026-01-15T10:30:00.123Z stdout message
Python2026-01-15 10:30:00,123 - module - ERROR - message
Java/Log4j2026-01-15 10:30:00,123 ERROR [thread] class - message
Kuberneteslevel=error msg="..." ts=2026-01-15T10:30:00Z
GenericAny line with recognizable timestamp

⚑ Performance

MetricValue
100MB log file< 10 seconds
Memory footprintStreaming (no full load)
Max tested size1GB+
Format detection< 100ms

πŸ› οΈ Available Tools

ToolDescription
log_analyzer_parseDetect format and extract metadata
log_analyzer_searchSearch with context lines
log_analyzer_extract_errorsExtract and group errors
log_analyzer_summarizeGenerate debugging summary
log_analyzer_correlateFind related events
log_analyzer_watchMonitor for new entries
log_analyzer_askNatural language queries
log_analyzer_scan_sensitiveDetect PII/credentials
+ 6 moreFull reference β†’

πŸ’‘ Examples

Find errors:

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

Search with context:

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

Correlate events:

Code
What happened 60 seconds before each OutOfMemoryError?

Scan for secrets:

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

πŸ”§ Development

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

πŸ“ˆ Star History

Star History Chart

πŸ“„ License

MIT License - see LICENSE for details.


Found this useful? Give it a ⭐ on GitHub!

Report bugs Β· Request features Β· Discussions Β· Full docs

Built by Fato07 at CodesDevs

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Frequently Asked Questions about Log Analyzer Mcp

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "log-analyzer-mcp": { "command": "npx", "args": ["-y", "log-analyzer-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit6mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jan 16, 2026
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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