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AI-powered log analysis - parse, search, extract errors across 9+ formats
AI-powered log analysis - parse, search, extract errors across 9+ formats
Valid MCP server (1 strong, 3 medium validity signals). 4 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
4 files analyzed ยท 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-fato07-log-analyzer-mcp": {
"args": [
"codesdevs-log-analyzer"
],
"command": "uvx"
}
}
}From the project's GitHub README.
๐ 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 โ right from Claude Code.
| 14 MCP tools | 9+ log formats |
| 280 tests | 81%+ coverage |

Analyzing logs with 14 specialized tools
| 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 |
# 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
uvx codesdevs-log-analyzer install
# 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"]
}
}
}
| 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 |
| Metric | Value |
|---|---|
| 100MB log file | < 10 seconds |
| Memory footprint | Streaming (no full load) |
| Max tested size | 1GB+ |
| Format detection | < 100ms |
| 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 โ |
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
git clone https://github.com/Fato07/log-analyzer-mcp
cd log-analyzer-mcp
uv sync
uv run pytest -v --cov
MIT License - see LICENSE for details.
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