LogScribe
FreeNot checkedHandles log file management and analysis with tools to list, read, search, filter, and generate analytics on log files.
About
Handles log file management and analysis with tools to list, read, search, filter, and generate analytics on log files.
README
A Model Context Protocol (MCP) server for log file management and analysis with enhanced formatting and error handling.
✨ Features
- 📁 List Log Files - View all .log files with size and modification metadata
- 📖 Read Log Files - Read the last N lines with line numbers and formatting
- 🔍 Search Individual Files - Search for patterns within specific log files
- 🌐 Cross-File Search - Search patterns across all log files simultaneously
- 🏷️ Filter by Log Level - Filter entries by ERROR, WARN, INFO, DEBUG, CRITICAL
- 📊 Generate Analytics - Comprehensive log file summaries and statistics
- ✅ Error Handling - Graceful handling of missing files and edge cases
- 🎨 Rich Output - Formatted output with emojis and visual separators
- 🔧 Hot Reload - Auto-restart on file changes during development
Quick Start
Install dependencies:
pip install -r requirements.txtCreate logs directory (optional):
mkdir logs # Add some .log files to test echo "2024-01-01 INFO Application started" > logs/app.log(You could also use sample logs in the logs folder to get started.)
Run the server:
# Use default ./logs directory python mcp_server.py # Use custom logs directory (command line) python mcp_server.py /path/to/your/logs # Use custom logs directory (environment variable) LOGS_DIR="/path/to/your/logs" python mcp_server.py # Development (with hot reload) python dev_server.py
Available Tools
list_files()
Lists all .log files in the ./logs directory with file size information.
Example output:
📁 Log Files:
app.log (2.5 KB)
error.log (1.2 KB)
read_file(filename: str, lines: int = 10)
Reads the last N lines from a specified log file with enhanced formatting.
Parameters:
filename: Name of the log file (e.g., "app.log")lines: Number of lines to read from the end (default: 10)
Example output:
📄 app.log (showing last 3 of 100 lines)
──────────────────────────────────────────────────
98 | 2024-01-01 10:00:00 INFO Application started
99 | 2024-01-01 10:01:00 DEBUG Loading configuration
100 | 2024-01-01 10:02:00 INFO Ready to serve requests
search_logs(filename: str, pattern: str, lines: int = 20)
Searches for a pattern within a specific log file using case-insensitive regex.
Parameters:
filename: Name of the log file to searchpattern: Search pattern (supports regex)lines: Maximum number of matching lines to return (default: 20)
search_all_logs(pattern: str, max_results: int = 50)
Searches for a pattern across ALL log files simultaneously.
Parameters:
pattern: Search pattern (supports regex)max_results: Maximum number of matching lines to return (default: 50)
log_summary(filename: str)
Generates comprehensive analytics and statistics for a log file.
Parameters:
filename: Name of the log file to analyze
Claude Desktop Integration
Add to your claude_desktop_config.json:
Option 1: Default logs directory
{
"mcpServers": {
"log-server": {
"command": "/full/path/to/your/venv/bin/python",
"args": ["/full/path/to/your/mcp_server.py"],
"cwd": "/full/path/to/your/project"
}
}
}
Option 2: Custom logs directory (command line)
{
"mcpServers": {
"log-server": {
"command": "/full/path/to/your/venv/bin/python",
"args": ["/full/path/to/your/mcp_server.py", "/path/to/your/logs"],
"cwd": "/full/path/to/your/project"
}
}
}
Option 3: Custom logs directory (environment variable)
{
"mcpServers": {
"log-server": {
"command": "/full/path/to/your/venv/bin/python",
"args": ["/full/path/to/your/mcp_server.py"],
"cwd": "/full/path/to/your/project",
"env": {
"LOGS_DIR": "/path/to/your/logs"
}
}
}
}
Configuration
Logs Directory
The server supports three ways to specify where your log files are located:
- Default: Uses
./logsdirectory in the project folder - Command Line: Pass directory path as first argument
python mcp_server.py /var/log/myapp - Environment Variable: Set
LOGS_DIRenvironment variableexport LOGS_DIR="/var/log/myapp" python mcp_server.py
Priority order: Command Line > Environment Variable > Default
Example Usage
Ask Claude:
- "List all my log files"
- "Show me the last 20 lines from app.log"
- "Read the last 5 lines from error.log"
- "Search for 'ERROR' in app.log"
- "Show me all ERROR entries in app.log"
- "Search for 'PaymentService' across all my logs"
- "Generate a summary of app.log"
Error Handling
The server gracefully handles:
- Missing log files (returns helpful error message)
- Empty log files (indicates file is empty)
- Invalid file paths
Requirements
- Python 3.8+
- mcp>=1.9.3
- watchdog>=3.0.0 (for development hot reload)
- pytest>=8.4.0 (for running tests)
Testing
Run the included tests to verify everything works:
# Simple test runner
python tests/test_basic.py
# Or using pytest (install first: pip install pytest)
pytest tests/ -v
Tests cover:
- Server initialization and configuration
- Log directory selection logic (env vars, command line args)
- Basic functionality verification
Development
For development with automatic restart on file changes:
python dev_server.py
The development server will automatically restart when you modify any .py files, making it easier to test changes without manually restarting.
Installing LogScribe
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/haramrit09k/logscribe-mcpFAQ
Is LogScribe MCP free?
Yes, LogScribe MCP is free — one-click install via Unyly at no cost.
Does LogScribe need an API key?
No, LogScribe runs without API keys or environment variables.
Is LogScribe hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install LogScribe in Claude Desktop, Claude Code or Cursor?
Open LogScribe on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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