Log MCP Server

AI-powered log analysis - parse, search, extract errors across 9+ formats

Local serverstdioPython

What is the Log MCP server?

AI-powered log analysis - parse, search, extract errors across 9+ formats. Exposed over MCP by the log mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

An MCP server for AI-powered log analysis. Parse, search, and debug log files across 9+ formats — right from Claude Code.

Its toolset

Everything the assistant can do here goes through one of these:

  • 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
  • Manual — The Manual tool exposed by this server

Adding it to your client

The server ships on PyPI as codesdevs-log-analyzer, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

When to reach for it

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Log's toolset — log_analyzer_parse, log_analyzer_search, log_analyzer_extract_errors and 6 more — is a fair guide to whether it matches your workflow. It is maintained by Fato07; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 9 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Log.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the log mcp server does with a few real requests.

Available tools

ToolWhat it does
log_analyzer_parseDetect format and extract metadata
log_analyzer_searchSearch with context lines
log_analyzer_extract_errorsExtract and group errors
log_analyzer_summarizeGenerate debugging summary
log_analyzer_correlateFind related events
log_analyzer_watchMonitor for new entries
log_analyzer_askNatural language queries
log_analyzer_scan_sensitiveDetect PII/credentials
ManualThe Manual tool exposed by this server.

How to install the Log MCP server

Add to `~/.claude/settings.json`:

```json
{
  "mcpServers": {
    "log-analyzer": {
      "command": "uvx",
      "args": ["codesdevs-log-analyzer"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Log to log analyzer parse.
  • Use Log to log analyzer search.
  • Use Log to log analyzer extract errors.

Frequently asked questions

It connects Log to MCP-compatible AI assistants such as Claude and Cursor, exposing 9 tools (log_analyzer_parse, log_analyzer_search, log_analyzer_extract_errors, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Log directly.