AIOps Field Notes

io.github.getlarkwright由 GitHub 帳號 getlarkwright 發布v0.1.2更新於 Nov 7, 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

免金鑰的本機 MCP 伺服器,提供 AI 維運計算工具:模型成本估算、GPU 記憶體試算、MCP 設定稽核,以及網路設定差異與合規檢查。

可以做什麼
  • 依模型估算每月 LLM 工作負載成本,由最便宜排起,並判斷模型在指定量化與上下文下能否放進 GPU 記憶體
  • 稽核貼上的 MCP 用戶端設定:未鎖定版本、明文金鑰、範圍過大的檔案系統根目錄、特權容器、shell 進入點與明文 HTTP
  • 查詢某個 MCP 伺服器的發佈者,以及它屬於參考、廠商還是社群
  • 比對兩份網路設備設定快照,並依 CIS/PCI 基本項目檢查設定
  • 從公開 RSS 來源取得最新一期 AI 維運筆記
適用情境
適合在規劃 AI 預算或採購 GPU 時使用,在把 MCP 用戶端設定接上正式環境前做審查時使用,或需要說明網路設備兩份快照之間改了什麼時使用。
執行需求
以 stdio 方式在本機執行。npx 方式需要 Node 18 或更新版本,也可使用 Docker 映像。不需帳號、API 金鑰或環境變數;README 建議鎖定版本。
安裝前請注意
稽核工具以文字形式接收設定,貼上的設定可能含明文金鑰(如 API 金鑰),伺服器會指出但不會讀取你的磁碟。僅 latest_field_note 會發出網路請求,讀取公開 RSS 來源。成本與 GPU 資料為參考值,價格會變動,承諾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:getlarkwright/aiops-field-notes-mcp#v0.1.2

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

json
{  "mcpServers": {    "aiops-field-notes": {      "command": "npx",      "args": ["-y", "github:getlarkwright/aiops-field-notes-mcp#v0.1.2"]    }  }}

Docker

json
{  "mcpServers": {    "aiops-field-notes": {      "command": "docker",      "args": ["run", "-i", "--rm", "ghcr.io/getlarkwright/aiops-field-notes-mcp:0.1.2"]    }  }}

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.getlarkwright/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 © Larkwright LLC. 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 9d033c4

工具

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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

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  1. v0.1.2最新Nov 7, 2026

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