Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Governed Traefik + Caddy + HAProxy ops: routes, upstreams, certs, 5xx RCA. 28 tools.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"proxy-aiops": {
"command": "uvx",
"args": [
"proxy-aiops"
]
}
}
}Run this in your terminal
claude mcp add proxy-aiops -- uvx proxy-aiopsPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"proxy-aiops": {
"command": "uvx",
"args": [
"proxy-aiops"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"proxy-aiops": {
"type": "stdio",
"command": "uvx",
"args": [
"proxy-aiops"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account AIops-tools, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.13.0) reached the registry 7 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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Audit availability: Real writes require a committed
pendingaudit row and stop before contacting the platform if storage is unavailable. Reads and previews may continue with a warning; new audit rows store outcome summaries rather than full responses.
Governed, audited AI-ops for Traefik, Caddy and HAProxy reverse proxies / load balancers — for AI agents (via MCP) and humans (via CLI).
Disclaimer: Community-maintained open-source project. Not affiliated with, endorsed by, or sponsored by Traefik Labs, the Caddy project, HAProxy Technologies, or the HAProxy project. Traefik, Caddy and HAProxy are trademarks of their respective owners. MIT licensed.
proxy-aiops speaks to three proxy platforms behind one MCP server — Traefik (its API under /api/..., metrics-text counters via /metrics), Caddy (the admin API, default localhost:2019) and HAProxy (the Data Plane API v2 under /v2/..., HTTP Basic auth) — with the same tools working on all three. Each target in the config names its own platform; a name-keyed platform registry selects the API shape (auth + resource paths), and an explicit support matrix raises teaching errors for ops a platform genuinely cannot do — e.g. Traefik writes point you at its providers (file, container labels, orchestrator CRDs), never a silent no-op.
Every tool runs through a built-in governance harness (vendored, zero external dependency): audit log, token/call budget with runaway circuit-breaker, descriptive risk-tier labelling, undo-token recording, and output sanitisation.
backend_health_rca (down upstreams → cause class L4/L6/L7/DNS/maint + action), cert_expiry_sweep (days-to-expiry buckets + per-platform renewal hints), error_rate_rca (5xx share vs the fleet baseline, dominant code → 502/503/504/500 cause), and route_conflict_analysis (shadowed routes, dead routes, redirect loops).set / delete / full load (the prior subtree/config is fetched first, so the recorded undo replays a real restore) and haproxy runtime server state (ready/drain/maint) and weight (undo restores the prior value) — all with dry_run previews; delete/load are risk=high with double confirmation at the CLI.It delivers proxy operations — reads and writes — accurately and efficiently, and records every one of them. It does not decide whether a write is allowed to happen. That is the agent's judgement, or the permission of the account you connect it with: give the HAProxy Data Plane API a read-only role, or scope down the Traefik/Caddy admin API you point it at, and the writes fail at the server — the place that actually owns the permission.
So there is no read-only switch, no policy file, no approval gate to configure. The one thing the tool guarantees is that nothing is silent: every call, over MCP and over the CLI alike, lands an audit row in ~/.proxy-aiops/audit.db, and reversible writes still capture their before-state and record an inverse.
Each tool declares a
risk_level, kept in agreement with its[READ]/[WRITE]
documentation tag by a test, and carried into the audit row as a descriptive
tier — so a reviewer can see at a glance that a row was a high-risk delete. It
is a label, not a gate.
Running a smaller / local model? See agent-guardrails.md — it lists the guardrails this tool now enforces for you (so you don't spend prompt budget restating them) and gives a ready-made system prompt for what's left.
| Domain | Tools | # | Kind |
|---|---|---|---|
| Status | proxy_overview, version_info, list_entrypoints | 3 | read |
| Routes | list_routes, route_detail, find_route | 3 | read |
| Services | list_services, service_detail, list_upstreams, upstream_detail, list_middlewares | 5 | read |
| Certificates | list_certificates | 1 | read |
| Traffic | traffic_stats, error_counters | 2 | read |
| Config | config_snapshot, search_config, get_config_value | 3 | read |
| Flagship analyses | backend_health_rca, cert_expiry_sweep, error_rate_rca, route_conflict_analysis | 4 | read |
| Writes (caddy) | set_config_value | 1 | write (med) |
| Writes (caddy) | delete_config_path, load_config | 2 | write (high) |
| Writes (haproxy) | set_server_state, set_server_weight | 2 | write (med) |
| Undo | undo_list, undo_apply | 2 | read / write |
Reversible writes record an inverse undo descriptor built from the real fetched before-state (set_config_value restores the prior subtree; delete_config_path re-creates it; load_config re-loads the snapshotted config; server state/weight restore the prior value). The undo params match each tool's own signature, so the descriptor replays as-is.
| Capability | traefik | caddy | haproxy |
|---|---|---|---|
| Routes / services / upstream health | ✅ | ✅ | ✅ |
| Middlewares list | ✅ | teaching note (inline handlers) | teaching note (haproxy.cfg) |
| TLS cert inventory + expiry sweep | ✅ | ✅ | teaching note (.pem files) |
| Error counters / error-rate RCA | ✅ (/metrics) | teaching note (no per-route counters) | ✅ (stats) |
| Config snapshot / search | ✅ (rawdata, read-only) | ✅ | teaching note |
| Config writes | teaching error → edit the provider | ✅ (the write surface) | teaching error → runtime writes |
| Runtime server state / weight | teaching error → provider | teaching error → config tree | ✅ |
Unsupported combinations raise a teaching error that says what to use instead — never a silent empty result.
uv tool install proxy-aiops # or: pipx install proxy-aiops
One install gives an agent both the skill and the MCP server:
/plugin marketplace add AIops-tools/marketplace
/plugin install proxy-aiops@aiops-tools
The MCP server is fetched with uv and pinned to the package version this plugin declares, so an audit row can be traced back to the code that wrote it. Credentials are still configured with proxy-aiops init — see below.
The same bundle is published on ClawHub, where one install delivers the skill and its MCP server together:
openclaw plugins install clawhub:@zw008/proxy-aiops
openclaw skills info proxy-aiops # expect: Visible to model: yes
Restart the OpenClaw gateway afterwards so it loads the plugin. The MCP server is fetched with uv, pinned to this exact release, so uvx has to be on PATH — without it the skill still installs but reports Visible to model: no. Credentials are configured exactly as below.
proxy-aiops init # wizard: pick platform (traefik/caddy/haproxy) + optional encrypted secret
proxy-aiops doctor # verify config, secrets, and connectivity proxy-aiops overview # one-shot: version + route/service counts + upstream health proxy-aiops routes list # normalised route table proxy-aiops services upstreams # server-level upstream health proxy-aiops analyze health # backend/upstream health RCA proxy-aiops analyze errors # 5xx error-rate RCA proxy-aiops analyze conflicts # shadowed/dead routes, redirect loops proxy-aiops certs --sweep # TLS cert expiry sweep (traefik/caddy) proxy-aiops server state app web1 drain --dry-run # governed haproxy write preview proxy-aiops config set apps/http/servers/srv0 '{"listen":[":8080"]}' --dry-run
Run the MCP server (stdio) for an agent:
proxy-aiops mcp # or: proxy-aiops-mcp
{
"mcpServers": { "proxy-aiops": { "command": "uvx", "args": ["--from", "proxy-aiops", "proxy-aiops-mcp"], "env": { "PROXY_AIOPS_MASTER_PASSWORD": "your-master-password" } } } }
Env-block caveat: the
envblock is only needed when a credential is
stored (haproxy always; traefik/caddy only behind Basic auth). MCP clients do
not inherit your shell profile — set
PROXY_AIOPS_MASTER_PASSWORD(and
PROXY_AIOPS_CONFIG/PROXY_AIOPS_HOMEif you relocated them) explicitly in
the client config, or the server cannot unlock
secrets.enc.
~/.proxy-aiops/config.yaml (non-secret connection details only):
targets:
The secret — the HAProxy Data Plane API password, or an optional Basic-auth password in front of Traefik/Caddy — is stored encrypted in ~/.proxy-aiops/secrets.enc (Fernet + scrypt-derived key), never plaintext on disk. Traefik and Caddy commonly run unauthenticated on localhost, so their secret is optional (like a local socket); HAProxy's is required. Set it with proxy-aiops secret set or the init wizard. The store is unlocked by a master password from PROXY_AIOPS_MASTER_PASSWORD (non-interactive/MCP/CI) or an interactive prompt (CLI on a TTY). A legacy plaintext env var PROXY_ _SECRET is honoured as a fallback (migrate with proxy-aiops secret migrate).
Every MCP tool — and every CLI write, which routes through the same governed functions — passes through @governed_tool. It records; it does not authorize (see above).
~/.proxy-aiops/audit.db (tool, params with secrets redacted, status, duration, risk tier, and any operator-supplied approver/rationale). The CLI writes the same row the MCP path does — there is no unaudited entry point.PROXY_MAX_TOOL_CALLS, PROXY_RUNAWAY_MAX, …; disable the breaker with PROXY_RUNAWAY_MAX=0).~/.proxy-aiops/undo.db from the fetched before-state (recording only; an external orchestrator executes it). Undo params match the target tool's own signature, so the descriptor replays as-is.risk_level; it gates nothing.Only the beginning is shown; read the rest in the repo