MCP tools for incident response: start read-only

A staged approach to giving AI assistants access to production during incidents, beginning with read-only MCP tools for logs, metrics and status.

Peon

3. November 2026November 3, 2026 · 2 Min. Lesezeit2 min read

Model Context Protocol servers let AI assistants call tools: read logs, query metrics, restart services. During an incident, an assistant that can pull the right logs in seconds is genuinely useful. One that can restart the wrong service is a second incident. The safe way in is staged.

Stage 1: read-only tools#

Start with tools that cannot change anything:

Most incident questions are answered by these four. "What changed?" and "what does the error log say?" cover a large share of real incidents.

Design the read tools carefully#

Stage 2: reversible actions with confirmation#

After the team trusts the read tools, add actions that are easy to undo: restart one container, roll back to the previous deploy, scale a worker. Require explicit human confirmation in the client for each call, and log every invocation with the requesting user.

Stage 3: everything else stays manual#

Deleting volumes, changing DNS, rotating credentials and editing firewall rules stay with humans. The cost of a wrong call is too high and the time saved is small.

Audit everything#

Every tool call should be recorded: which tool, which arguments, which user, and the result. When reviewing an incident, you want to know what the assistant saw and did.

Measure the benefit#

Track time to first useful clue during incidents before and after. If read-only tools do not help, write actions will not either.

A survey of MCP servers worth connecting for DevOps work, with notes on permissions, is in this roundup of MCP servers for DevOps.

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Contents

6 sections

  1. Stage 1: read-only tools
  2. Design the read tools carefully
  3. Stage 2: reversible actions with confirmation
  4. Stage 3: everything else stays manual
  5. Audit everything
  6. Measure the benefit