Loglens

io.github.CloudCorpRecords由 GitHub 账号 CloudCorpRecords 发布v0.1.0更新于 Nov 3, 2026

基于本地日志的家庭实验室日志调查:tail、errors、search、timeline、context。

AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。

原文描述

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

已验证STDIO仅桌面安全与监控

概览

Loglens 的本地 MCP 服务;无需登录;STDIO。

暂无 AI 概览:以下信息来自注册中心条目和服务本身。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Loglens,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 e8fa46b

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.0最新Nov 3, 2026

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