ops-copilot-mcp
# Ops-Copilot MCP Server
A self-hosted [MCP](https://modelcontextprotocol.io) server (TypeScript / Node.js) that gives
an AI agent (Claude Code, Claude Desktop) a **governed** interface to local infrastructure.
MVP scope: **Docker only**.
The point is not "an agent can call Docker" — it's the **control model**.
## The control model
- **Read freely.** The agent lists containers and reads logs with no ceremony — reads have
no side effects.
- **Mutate only with a human-confirmed token.** A state-changing tool (`restart_container`)
uses a **two-phase confirm** protocol: the first call only *previews* and returns a
single-use token; nothing changes until a second call supplies that token.
- **Deny-by-default.** Operations are explicitly classified as read or mutate. Anything not
classified is refused — capability is opt-in, not opt-out.
- **Append-only JSONL audit log.** Every invocation — read, preview, allow, deny — is written
as one JSON line. This is the *primary*, incident-safe record, not a mirror of some other
store. Each line is independently valid, so a crash mid-write can never corrupt history.
This is the portfolio story: not raw capability, but *governed* capability.
### The confirm-token protocol
```
Agent ──restart_container{container}──────────────▶ Phase 1: preview
• resolve target (id-prefix or name)
• issue single-use token, TTL 120s,
bound to (operation, target)
• audit: preview
◀──"About to restart web-1 (a1b2c3)… • NO side effect
confirmToken=9f3a… within 120s"
Agent ──restart_container{container, confirmToken}─▶ Phase 2: execute
• token must exist, be unexpired,
unused, and match (op, target) exactly
• on success → restart, audit: allowed
• else → refuse, audit: denied
```
The token comes from `crypto.randomBytes(16)`, lives only in memory, is deleted on consume
(single-use), and is bound to an exact `(operation, target)` pair — a token issued to restart
container A can never restart container B, and a reused or expired token is refused with no
side effect.
## Tools
| Tool | Type | Input | Behavior |
|----------------------|--------|------------------------------------------------|----------|
| `ping` | read | — | Health check; returns `pong`. |
| `list_containers` | read | `{ all?: boolean = false }` | Compact text table; running only, or all incl. stopped. |
| `get_container_logs` | read | `{ container: string, tail?: number = 100 }` | Last N log lines; resolve by id-prefix or exact name. |
| `restart_container` | mutate | `{ container: string, confirmToken?: string }` | Two-phase confirm (see above). |
Tool outputs are short, fixed-width, and explicit about errors (prefixed `Error:` with
`isError: true`) so the LLM routes reliably on them.
## Running locally
Prerequisites: Node.js LTS (>= 20) and a running Docker daemon (Docker Desktop on
Windows/macOS, or the socket on Linux).
```bash
npm install
npm run dev # tsx src/index.ts — runs the server over stdio
npm run build # tsc -> dist/
npm start # node dist/index.js — runs the compiled build
npm test # vitest — unit tests for the confirm-token store
```
The server speaks MCP over **stdio**: stdout is the JSON-RPC protocol channel, and **all logs
go to stderr**. You normally don't run it by hand — an MCP client (Claude Code) launches it.
The audit log is written to `./audit/audit-<yyyyMMddUTC>.jsonl` by default; override the
directory with the `AUDIT_DIR` environment variable. Files roll per UTC day.
### Point Claude Code at it
A project-scoped [`.mcp.json`](./.mcp.json) at the repo root registers this server:
```json
{
"mcpServers": {
"ops-copilot-mcp": {
"command": "npx",
"args": ["tsx", "src/index.ts"]
}
}
}
```
Claude Code launches the command from the project directory. To use the compiled build
instead of `tsx`, run `npm run build` first and change the entry to:
```json
{ "command": "node", "args": ["dist/index.js"] }
```
Then:
1. From this project directory, start Claude Code.
2. Approve the project MCP server when prompted (or run `/mcp` to inspect it).
3. Confirm the tools are listed. Try: *"list all containers"*, then *"restart X"* — the agent
will preview and hand you a token before anything changes.
If the server **won't connect**, the cause is almost always **stdout pollution** — a stray
`console.log` corrupts the protocol stream. Every log line must go to stderr (`console.error`).
## Architecture
```
MCP Tools src/tools/*.ts thin registerTool wrappers; shape text, write audit; no logic
│
Policy src/policy/*.ts deny-by-default classification; issues/consumes confirm tokens
│
Adapter src/adapters/*.ts the only code that talks to Docker (dockerode); plain types out
│
Audit src/audit/*.ts append-only JSONL sink; called at every decision point
```
Dependency rule: tools know Policy/Adapter/Audit; the adapter knows only `dockerode`;
Policy/Audit know nothing of MCP or Docker. SDK types live only in `src/index.ts` and
`src/tools/*`. Dependencies are constructed by hand in `src/index.ts` and injected — no
container, no decorators. This keeps the core unit-testable with no transport and makes the
future stdio→HTTP swap a one-file change.
## Security note
The stdio transport **inherits the trust of the local user** who launches the server. There is
no network listener, no authentication layer, and no sandbox: the server runs with your OS
permissions and talks to your Docker daemon over its local socket / named pipe — which on most
setups is equivalent to root on the host. The confirm-token protocol is a guardrail against an
agent acting *without human intent*; it is **not** a security boundary against a hostile
operator or hostile code already running as you. Run it only on infrastructure you own, keep
the audit log, and treat the future HTTP transport (which *does* cross a trust boundary) as
requiring real authentication before exposure.
## Roadmap (post-MVP — NOT yet built)
The following are deliberately out of scope for the MVP and are **not implemented**:
- **Streamable HTTP transport**, config-switched (`TRANSPORT=stdio|http`). Today: stdio only.
- **More adapters** — GitHub (PRs, workflow runs), Traefik (routers, health).
- **Postgres as a queryable mirror** of the JSONL audit log (the JSONL file stays the primary
store; Postgres would only be a read-optimized projection).
- **Scoped policy** per operation/target patterns, and richer preview diffs.
```
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: ping for health, list_containers for inventory, get_container_logs for log retrieval, and restart_container for a mutating operation. There is no overlap or ambiguity between them.
Tools use lowercase snake_case with a verb_noun pattern (list_containers, get_container_logs, restart_container). The exception is 'ping', which is a single verb but is a conventional health-check name and does not detract from overall consistency.
Four tools form a well-scoped set for a Docker operations copilot, covering health, listing, logs, and restart. The count is appropriate for the narrow domain and each tool earns its place.
The core monitoring and restart workflow is covered, but there are minor gaps such as no explicit start/stop container controls. Agents can work around this given the focus on restart and diagnostics.