AIOps Field Notes

io.github.labaccessnow由 GitHub 帳號 labaccessnow 發布v0.1.1更新於 Oct 24, 2026

Audit an MCP config, price a model, size a GPU, explain network config drift. Key-free.

概覽

AI 產生的概覽

一個在本機執行、免金鑰的 MCP 伺服器,可估算 LLM 成本、檢查 GPU 記憶體是否足夠、稽核 MCP 設定並解釋網路設定變更。

可以做什麼
提供七個工具:estimate_llm_cost 由低到高比較各模型的每月成本;check_vram_fit 判斷某模型與上下文能否放進指定 GPU;audit_mcp_config 審查貼上的用戶端設定,指出未固定版本、檔案系統根目錄過寬、明文密鑰、特權容器等風險;lookup_mcp_server 說明某伺服器及其維護者;explain_config_diff 摘要兩份網路設備快照之間的變化;check_config_compliance 檢查 CIS/PCI 基本項目;latest_field_note 取得每週 AI 維運筆記。
適用情境
適合規劃 AI 部署或審查代理設定時使用:編列模型預算、評估硬體規格、在信任某份 MCP 用戶端設定前先做審查,或檢視路由器與設備設定的變更與合規情況。
執行需求
透過 stdio 在本機執行。npx 方式需要 Node 18 或更新版本,也可使用 Docker 映像。不需要帳號、API 金鑰、環境變數或標頭。
安裝前請注意
此伺服器聲明不存取檔案系統、不做遙測,audit_mcp_config 接收設定文字而非讀取磁碟。latest_field_note 是唯一的網路呼叫,會取得公開 RSS 來源;不使用它就不會建立網路連線。成本與 GPU 資料僅供參考,價格會變動,投入預算前請向廠商確認。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 AIOps Field Notes,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

AIOps Field Notes MCP server

Four things I kept doing by hand while running AI in production, turned into tools an agent can call: price a model before committing a budget, size a GPU before ordering one, review an MCP config before trusting it, and explain what changed in a network device config.

Free, MIT, no account, no telemetry.

Install

Pin the version — see audit_mcp_config for why.

Claude Code

claude mcp add aiops-field-notes -- npx -y github:labaccessnow/aiops-field-notes-mcp#v0.1.1

Claude Desktop, Cursor, or any client with a JSON config

json
{  "mcpServers": {    "aiops-field-notes": {      "command": "npx",      "args": ["-y", "github:labaccessnow/aiops-field-notes-mcp#v0.1.1"]    }  }}

Docker

json
{  "mcpServers": {    "aiops-field-notes": {      "command": "docker",      "args": ["run", "-i", "--rm", "ghcr.io/labaccessnow/aiops-field-notes-mcp:0.1.1"]    }  }}

Node 18 or newer for the npx route; nothing else to configure either way. The server is also in the official MCP registry as io.github.labaccessnow/aiops-field-notes-mcp.

Tools

ToolWhat it answers
estimate_llm_costWhat does this workload cost per month on each model, cheapest first?
check_vram_fitDoes a 70B model at Q4 fit on my 4090 with a 32K context?
audit_mcp_configIs this MCP config safe to trust — what can each server actually reach?
lookup_mcp_serverWhat is this server, who maintains it, and is it reference, vendor or community?
explain_config_diffWhat changed on this router between two snapshots, and how bad is it?
check_config_complianceDoes this device config pass the CIS/PCI basics?
latest_field_noteWhat happened in AI ops this week?

audit_mcp_config

The one I use most. Paste a client config and it reads it the way a reviewer would — every server entry is an access grant, so the questions are what it can reach, who publishes it, and what happens the next time it auto-updates:

6 servers reviewed — 7 high, 6 medium, 0 low.
files  [high] Package version is not pinned    files runs "@modelcontextprotocol/server-filesystem" at whatever version is published when it launches.    fix: Pin it — "@modelcontextprotocol/server-filesystem@<version>" for npm, "@modelcontextprotocol/server-filesystem==<version>" for uvx — and bump deliberately.  [high] Filesystem root is wide open    files is granted "/" — that is the whole home directory or the whole disk, including keys and browser profiles.    fix: Scope the server to the project directories the agent actually works in.  [medium] Installs without prompting    files passes -y, so a new release installs and runs with no confirmation.    fix: Keep the flag only alongside a pinned version, so what installs is what you reviewed.
notes  [high] Package version is not pinned    notes runs "some-random-notes-mcp" at whatever version is published when it launches.    fix: Pin it — "some-random-notes-mcp@<version>" for npm, "some-random-notes-mcp==<version>" for uvx — and bump deliberately.  [high] Secret is stored in the config file    notes has NOTES_API_KEY written out in plaintext; config files get committed, synced and screenshared.    fix: Reference the environment instead — "NOTES_API_KEY": "${NOTES_API_KEY}" — and keep the value in your secret store.  [medium] Installs without prompting    notes passes -y, so a new release installs and runs with no confirmation.    fix: Keep the flag only alongside a pinned version, so what installs is what you reviewed.  [medium] Publisher not in the tracked set    "some-random-notes-mcp" is not one of the reference or vendor servers this directory tracks.    fix: Read the source and check the publisher before wiring it into an agent that touches production.

It also flags shell entrypoints, privileged containers, host-root mounts, credentials on the command line, database access that is not read-only, unauthenticated remote servers, and anything reached over plain HTTP.

What it does not do

  • No account, no signup, no key.
  • No telemetry. Nothing about your usage leaves your machine.
  • No filesystem access. audit_mcp_config takes the config as text, so the server never reads your disk.
  • One network call in the whole package: latest_field_note fetches a public RSS feed. Skip that tool and this server never opens a socket.

The cost table, GPU list and server directory match the calculators at aiopsfieldnotes.com/tools and get re-verified with each weekly episode. Pricing moves — check the vendor's page before you commit a budget to it.

Where the network tools come from

explain_config_diff and check_config_compliance are the read-only core of DriftWatch, which runs the same rules nightly across a fleet and keeps the history. Here you get the single-shot version, on two snapshots you paste, with no storage and no scheduler. That is deliberate: the rules are the useful part, and they work fine on their own.

Licence

MIT. Written by James Son — network, security, and automation engineer — and tested in a live multi-vendor lab. Contributions and corrections welcome.

來源:README.md,提交 d2a8b59

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. v0.1.1最新Sep 16, 2026

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