Log Detective MCP
MCP server implementing core log analysis tools of Log Detective for use by other agents.
The server uses the Drain3 algorithm to cluster log messages into templates and extract a representative subset of snippets, reducing large logs to a manageable size for downstream analysis.
Installation
Requires Python 3.11+.
pip install .
Or with uv:
uv pip install .
Usage
Running the server
logdetective-mcp
Or directly:
python -m logdetective_mcp.main
MCP client configuration
Claude Code
claude mcp add logdetective -- logdetective-mcp
Claude Desktop
Add to your Claude Desktop configuration file:
{
"mcpServers": {
"logdetective": {
"command": "logdetective-mcp"
}
}
}
Tools
extract_log_snippets
Extracts representative log snippets using Drain3 clustering. The tool chunks the log into logical messages, clusters similar messages, and returns one representative snippet per cluster.
Log content can be provided in three ways (exactly one must be used):
| Parameter | Type | Description |
|---|---|---|
log_text |
str |
Raw log text passed directly. |
log_path |
str |
Path to a log file on the server's filesystem. |
log_url |
str |
HTTP(S) URL to fetch log content from. |
Optional parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
max_clusters |
int |
8 | Maximum number of snippets to extract. |
max_snippet_len |
int |
2000 | Maximum character length per snippet. |
skip_patterns |
dict[str, str] |
null |
Map of names to regex patterns. Matching chunks are excluded before clustering. |
Returns a list of Snippet objects, each with line_number (position in the original log) and text (the extracted snippet content).
Contributing
All changes to this repository must pass pre-commit checks and tests.
uv run pytest tests/
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