什么是 io.github.Fato07/log-analyzer-mcp?
AI 驱动的日志分析工具,支持解析、搜索,并从 9+ 种格式的日志中提取错误信息。
README
Log Analyzer MCP
<!-- mcp-name: io.github.Fato07/log-analyzer-mcp -->🔍 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

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
<details> <summary>pip / uv / Claude Code config</summary># 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.
<p align="center"> <b>Found this useful?</b> Give it a ⭐ on GitHub!<br><br> <a href="https://github.com/Fato07/log-analyzer-mcp/issues/new?template=bug_report.yml">Report bugs</a> · <a href="https://github.com/Fato07/log-analyzer-mcp/issues/new?template=feature_request.yml">Request features</a> · <a href="https://github.com/Fato07/log-analyzer-mcp/discussions">Discussions</a> · <a href="https://github.com/Fato07/log-analyzer-mcp/blob/main/docs/TOOLS.md">Full docs</a> </p> <p align="center"> Built by <a href="https://github.com/Fato07">Fato07</a> at <a href="https://codesdevs.io">CodesDevs</a> </p>
常见问题
io.github.Fato07/log-analyzer-mcp 是什么?
AI 驱动的日志分析工具,支持解析、搜索,并从 9+ 种格式的日志中提取错误信息。
相关 Skills
技术栈评估
by alirezarezvani
对比框架、数据库和云服务,结合 5 年 TCO、安全风险、生态活力与迁移复杂度做量化评估,适合技术选型、栈升级和替换路线决策。
✎ 帮你系统比较技术栈优劣,不只看功能,还把TCO、安全性和生态健康度一起量化,选型和迁移决策更稳。
资深数据科学家
by alirezarezvani
覆盖实验设计、特征工程、预测建模、因果推断与模型评估,适合用 Python/R/SQL 做 A/B 测试、时序分析和生产级 ML 落地,支撑数据驱动决策。
✎ 从 A/B 测试、因果分析到预测建模一条龙搞定,既有硬核统计方法也懂业务沟通,特别适合把数据结论真正落地。
资深架构师
by alirezarezvani
适合系统设计评审、ADR记录和扩展性规划,分析依赖与耦合,权衡单体或微服务、数据库与技术栈选型,并输出Mermaid、PlantUML、ASCII架构图。
✎ 搞系统设计、技术选型和扩展规划时,用它能更快理清架构决策与依赖关系,还能直接产出 Mermaid/PlantUML 图,方案讨论效率很高。
相关 MCP Server
SQLite 数据库
编辑精选by Anthropic
SQLite 是让 AI 直接查询本地数据库进行数据分析的 MCP 服务器。
✎ 这个服务器解决了 AI 无法直接访问 SQLite 数据库的问题,适合需要快速分析本地数据集的开发者。不过,作为参考实现,它可能缺乏生产级的安全特性,建议在受控环境中使用。
PostgreSQL 数据库
编辑精选by Anthropic
PostgreSQL 是让 Claude 直接查询和管理你的数据库的 MCP 服务器。
✎ 这个服务器解决了开发者需要手动编写 SQL 查询的痛点,特别适合数据分析师或后端开发者快速探索数据库结构。不过,由于是参考实现,生产环境使用前务必评估安全风险,别指望它能处理复杂事务。
Firecrawl 智能爬虫
编辑精选by Firecrawl
Firecrawl 是让 AI 直接抓取网页并提取结构化数据的 MCP 服务器。
✎ 它解决了手动写爬虫的麻烦,让 Claude 能直接访问动态网页内容。最适合需要实时数据的研究者或开发者,比如监控竞品价格或抓取新闻。但要注意,它依赖第三方 API,可能涉及隐私和成本问题。