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my-pal-mcp-server/docs/logging.md
Beehive Innovations 4151c3c3a5 Migration from Docker to Standalone Python Server (#73)
* Migration from docker to standalone server
Migration handling
Fixed tests
Use simpler in-memory storage
Support for concurrent logging to disk
Simplified direct connections to localhost

* Migration from docker / redis to standalone script
Updated tests
Updated run script
Fixed requirements
Use dotenv
Ask if user would like to install MCP in Claude Desktop once
Updated docs

* More cleanup and references to docker removed

* Cleanup

* Comments

* Fixed tests

* Fix GitHub Actions workflow for standalone Python architecture

- Install requirements-dev.txt for pytest and testing dependencies
- Remove Docker setup from simulation tests (now standalone)
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- Update simulation tests to run directly without Docker

Fixes unit test failures in CI due to missing pytest dependency.

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* Remove simulation tests from GitHub Actions

- Removed simulation-tests job that makes real API calls
- Keep only unit tests (mocked, no API costs) and linting
- Simulation tests should be run manually with real API keys
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GitHub Actions now only runs:
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* Fixed tests

* Fixed tests

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-06-18 23:41:22 +04:00

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Markdown

# Logging
## Quick Start - Follow Logs
The easiest way to monitor logs is to use the `-f` flag when starting the server:
```bash
# Start server and automatically follow MCP logs
./run-server.sh -f
```
This will start the server and immediately begin tailing the MCP server logs.
## Log Files
Logs are stored in the `logs/` directory within your project folder:
- **`mcp_server.log`** - Main server operations, API calls, and errors
- **`mcp_activity.log`** - Tool calls and conversation tracking
Log files rotate automatically when they reach 20MB, keeping up to 10 rotated files.
## Viewing Logs
To monitor MCP server activity:
```bash
# Follow logs in real-time
tail -f logs/mcp_server.log
# View last 100 lines
tail -n 100 logs/mcp_server.log
# View activity logs (tool calls only)
tail -f logs/mcp_activity.log
# Search for specific patterns
grep "ERROR" logs/mcp_server.log
grep "tool_name" logs/mcp_activity.log
```
## Log Level
Set verbosity with `LOG_LEVEL` in your `.env` file:
```env
# Options: DEBUG, INFO, WARNING, ERROR
LOG_LEVEL=INFO
```
- **DEBUG**: Detailed information for debugging
- **INFO**: General operational messages (default)
- **WARNING**: Warning messages
- **ERROR**: Only error messages
## Log Format
Logs use a standardized format with timestamps:
```
2024-06-14 10:30:45,123 - module.name - INFO - Message here
```
## Tips
- Use `./run-server.sh -f` for the easiest log monitoring experience
- Activity logs show only tool-related events for cleaner output
- Main server logs include all operational details
- Logs persist across server restarts