Wire human-review gates into your AI agents — a dependency-free MCP starter
Shipping AI into real operations isn't blocked by the model — it's blocked by the
"last mile": the review gates, privacy checks, and decision logs a team needs
before an AI draft reaches a customer. Most teams rebuild these from scratch.
@miraigent/ai-ops-templates
is a small, dependency-free MCP server that puts those operational steps one
npx away — so any agent can call them as tools.
Quickstart
npx @miraigent/ai-ops-templates
Then add it to any standard MCP client. The server speaks newline-delimited
JSON-RPC over stdio — the standard MCP transport — so it connects to Codex and
any MCP-compatible agent out of the box. No build, no extra dependencies.
What it gives your agent
Four general-purpose AI-operations tools:
| Tool | What it does |
|---|---|
list_ai_ops_templates |
List the available AI-operations templates/checklists |
get_ai_ops_template |
Fetch a specific template (review gate, anonymization guide, CRM-notes, FAQ review, support workflow map) |
build_ai_ops_review_checklist |
Assemble a human-review checklist for a given AI task |
recommend_ai_ops_template_sequence |
Suggest an ordered sequence of templates for a workflow |
These are general-purpose ops tools — not a memory engine. The server is
stateless: no recall, no embeddings, no hidden backend.
Example: a review gate before an AI reply ships
- Agent drafts a customer reply.
- Agent calls
build_ai_ops_review_checklist→ gets the human-review items
(privacy, tone, factual claims, escalation). - A human signs off against the checklist; the decision is logged.
- Only then does the reply go out.
The point isn't to slow teams down — it's to make the safety step standard and
visible instead of ad-hoc.
Open by design, scoped on purpose
The repo is openly licensed (MIT, path-scoped via LICENSE-SCOPE.md) for the
public templates and the MCP server. It deliberately does not open-source any
proprietary memory engine — what's here is the general-purpose, reusable tooling.
These same patterns also inform Agent Memories (agentmemories.jp), our
consumer-facing AI-partner service.
- Repo: https://github.com/Miraigent/miraigent-ai-ops-templates
- npm:
@miraigent/ai-ops-templates - Issues / contributions welcome (see CONTRIBUTING).
If you're building agents that touch real customers, try wiring one review gate in
and see how much calmer your "ship it" moment gets.