MCP Server for Logz.io

Name: MCP Server for Logz.io
Author: jklnr

@jklnr

Repository

About MCP Server for Logz.io

Unofficial mcp server for logz.io

#logzio #mcp-server #log-management

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

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Overview

What is MCP Server for Logz.io?

MCP Server for Logz.io is a Model Context Protocol server that enables AI assistants like Claude to interact with Logz.io’s log management platform. It translates natural language requests into log searches, Lucene queries, and aggregated statistics.

How to use MCP Server for Logz.io?

Add the server to your Claude/Cursor/etc configuration using npx with your Logz.io API key and optional region. Example: "command": "npx", "args": ["-y", "mcp-server-logzio", "apiKey", "YOUR_LOGZIO_API_KEY"]. The US region is the default; for other regions add "region", "eu" (or another region code). Use logzioUrl for a custom API endpoint.

Key features of MCP Server for Logz.io

Search logs with simple text and time filters
Execute advanced Lucene queries for precise analysis
Retrieve aggregated log statistics and metrics
Supports six geographic regions (us, us-west, eu, ca, au, uk)
Configurable timeout, retry attempts, and max results
Built with TypeScript and Node.js 18+

Use cases of MCP Server for Logz.io

Ask an AI assistant to find recent error logs in a time window
Perform complex Lucene queries on log data through natural language
Get summary statistics of log activity grouped by field
Automate incident response by querying logs in real time
Integrate Logz.io log analysis into chat‑based development workflows

FAQ from MCP Server for Logz.io

What does MCP Server for Logz.io do?

It lets AI assistants (like Claude) search, query, and get statistics from Logz.io logs using natural language, via the Model Context Protocol.

What tools are available?

Three tools: search_logs (simple search), query_logs (Lucene queries), and get_log_stats (aggregated metrics). Each accepts parameters like time range, filters, and sort order.

What are the prerequisites?

Node.js 18+, TypeScript 5.3+, a valid Logz.io account, and a Logz.io API key. Npx is used for instant startup.

How do I configure the region?

Pass the region argument (e.g., "region", "eu"). The default is us. Region codes map to Logz.io API endpoints: us → https://api.logz.io, eu → https://api-eu.logz.io, etc. You can also set a custom URL with logzioUrl.