MCP server · Analytics · official
Log10x MCP server
by log-10x · official
Ask your AI about your log costs and log patterns in plain English, and see what is driving them.
This is a helper that lets your AI assistant answer questions about your log costs and log patterns in plain words. It comes from Log10x, the company that makes the 10x platform, and it runs on your own computer. It is handy if your team pays a lot for logs in Splunk or Elasticsearch and you want to know what is really driving the bill.
What is an MCP server? The 30-second version
On its own, your AI can only chat with you. An MCP server is a small helper program that gives your AI a new skill. This helper connects your AI to the Log10x service, so the AI can look up things there and do work for you. You just ask your question in normal words, and the helper fetches the numbers and answers back.
What this MCP server does
You ask your AI something like why log costs went up this week. The AI uses this helper to talk to the Log10x platform. Log10x groups your logs by message type, so millions of nearly identical lines collapse into one named pattern. The helper brings back the top patterns, services, and savings numbers, ranked by volume and cost. You get a plain answer in the chat, backed by the per-pattern math behind each number.
What you can do with it
- See which message types and services are driving your log volume and cost
- Get a projected and realized savings report with the math shown
- Investigate a spike in one service with a timeline and related patterns
- Cut, compact, tier down, or offload a noisy message type
- Estimate savings on your own log file before you install anything
- Fetch back the exact log events you offloaded to your own storage
- Compile your own code into a symbol library so more message types get names
Try asking your AI
- “Why did our log costs spike this week?”
- “What is driving payments-svc volume?”
- “Show me the top log patterns by cost”
- “Estimate savings on the log file I put in my poc folder”
What it gives back to you
You get back lists and summaries of your log patterns, services, and costs, ranked from biggest to smallest. Savings questions come back as projected and realized numbers, with the per-pattern math behind each one. Investigations return a timeline, related patterns, and a confidence level so nothing is shown as proven cause when it is not. If you ask for charts and the chart pieces are installed, you get pictures; otherwise you get text.
Before you start
What you need
- The Claude desktop app, Claude Code, or another AI client that supports MCP servers
- Node.js 20 or newer, so the npx command can run
- A Log10x API key for the account tools. You can sign in with GitHub inside the tool to get one. Without a key, it runs read-only on a public demo dataset.
Good to know
Some tools can change your setup, like applying a policy or wiring up offload, so run it read-only or on a test environment until you trust the result.
Install it with your AI
Add Log10x MCP server to your AI, no technical skills needed
You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.
Sign in to get the install prompt
Members get a ready-made prompt that lets the Claude desktop app check Log10x MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,609 MCP servers here for you.
Who it's for
People who watch log costs and reliability, like SREs, platform engineers, and DevOps folks, and anyone curious about a big Splunk or Elasticsearch bill.
