The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the AIOps Field Notes listing page.
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.
Pin the version — see audit_mcp_config for why.
Claude Code
Claude Desktop, Cursor, or any client with a JSON config
Docker
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.
| Tool | What it answers |
|---|---|
estimate_llm_cost | What does this workload cost per month on each model, cheapest first? |
check_vram_fit | Does a 70B model at Q4 fit on my 4090 with a 32K context? |
audit_mcp_config | Is this MCP config safe to trust — what can each server actually reach? |
lookup_mcp_server | What is this server, who maintains it, and is it reference, vendor or community? |
explain_config_diff | What changed on this router between two snapshots, and how bad is it? |
check_config_compliance | Does this device config pass the CIS/PCI basics? |
latest_field_note | What happened in AI ops this week? |
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:
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.
audit_mcp_config takes the config as text, so the server never reads your disk.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.
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.
MIT. Written by James Son — network, security, and automation engineer — and tested in a live multi-vendor lab. Contributions and corrections welcome.