Claude Usage runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 17 Sep 2026.
Measures whether your Claude subscription is paying off, from local logs. No upload.
We read the source, 22 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
raw = subprocess.run(
cand = os.path.join(root, guess)
mod = __import__("claudeusage." + SUB[cmd][0], fromlist=["main"])
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Claude Code token usage, cost, and plan limits from local logs and Anthropic's usage API.
Measure whether your AI agrees with itself using statistical consensus metrics.
Local-first MCP server: read LAS well logs and DLIS files from your own disk.
Measures the cost, tokens and duration of a completed agent workflow from its session log.
Mine your local AI coding session logs into a profile your agent loads before every task.
USCIS processing times per form and office, plus whether your case can file an inquiry yet.
Query your local super-log bench from an AI agent - read-only log tools over the hub.
Your professional network in Claude — search contacts, log notes, and send warm intros.
Answers built from our own checks of this server.