logdetective-mcp 0.1.0

Log Detective MCP server

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/