Loglens

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 3, 2026

基於本機日誌的家庭實驗室日誌調查:tail、errors、search、timeline、context。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Homelab log investigation over local logs: tail, errors, search, timeline, context.

已驗證STDIO僅桌面安全與監控

概覽

Loglens 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Loglens,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

loglens

loglens investigates homelab logs held in a local file: what the store holds, what arrived most recently, what errored, what mentions a term, how volume is spread over time, and what surrounded a moment. One binary serves a command-line interface and a stdio MCP server exposing a single action-dispatched tool, cortex.

This is a labelled core subset. The tool it is modelled on dispatches 60 catalog actions; loglens implements seven of them — status, tail, errors, search, timeline, context, and help — and omits the other 53 (fleet and topology views, AI session analysis, correlation and anomaly analysis, error acknowledgement, notifications, and administration). The help action lists the implemented subset and the omitted actions at runtime.

Log file

Records live in a JSONL file: one JSON object per line, each with ts (an ISO-8601 timestamp), level, source, and message:

json
{"ts":"2026-10-26T09:15:00.000Z","level":"info","source":"docker/web","message":"container started"}{"ts":"2026-10-26T09:16:12.000Z","level":"error","source":"syslog","message":"disk almost full"}

The path comes from --file on the CLI, then the LOGLENS_LOG_FILE environment variable, then ./loglens.jsonl. Malformed lines (bad JSON, missing fields, unparseable timestamps) are skipped and counted, never fatal. A missing file is a clean error for data actions; status instead reports the store state with exists: false, and help needs no store at all. All logic is local and deterministic — no network access, ever.

Install

bash
npx @reneturcios/loglens status

Or run the container image:

bash
docker run -i ghcr.io/cloudcorprecords/loglens

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead. Mount your log file and set LOGLENS_LOG_FILE to its in-container path.

CLI

bash
export LOGLENS_LOG_FILE=/var/log/homelab.jsonl
loglens statusloglens tail --limit 5 --source docker/webloglens errors --limit 10loglens search "disk" --since 2026-10-26T00:00:00.000Zloglens timeline --bucket dayloglens context 2026-10-26T09:16:12.000Z --window-minutes 5loglens context 12 --limit 3loglens help
loglens --version

Commands print a JSON result. tail, errors, and search return records newest first; context returns them in file order. context accepts either a timestamp (records within --window-minutes of it, or the --limit nearest records around the closest one) or a bare record index (the --limit records on either side of that position). Exit codes: 0 on success, 1 when an operation fails (including a missing log file), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

bash
npx -y @reneturcios/loglens mcp

MCP client configuration:

json
{  "mcpServers": {    "loglens": {      "command": "npx",      "args": ["-y", "@reneturcios/loglens", "mcp"],      "env": { "LOGLENS_LOG_FILE": "/absolute/path/to/logs.jsonl" }    }  }}

Tool

ToolInputWhat it returns
cortexaction (required, one of status, tail, errors, search, timeline, context, help), plus optional query, source, level, limit, since, until, bucket (hour or day), timestamp, window_minutesPer action: a store summary, the latest matching records, hourly/daily volume buckets, records around a moment, or the subset help text.

A useful first call is {"action":"status"}, then narrow with tail, errors, search, timeline, or context.

Development

bash
npm installnpm run build   # tsc -> dist/npm test        # node test runner over test/*.test.ts, real temp JSONL files, no networknpm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

來源:README.md,提交 e8fa46b

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Nov 3, 2026

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