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AdRails

AdRails

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adrails.devBusiness & Marketing0Updated 3d ago

About AdRails

AdRails is an open-source, self-hosted MCP server for managing Google Ads, intended for AI agents and operators who need guarded campaign changes. It separates reviewed desired-state files from policy caps, diffs changes against live state, and can check spend thresholds and attempt pauses.

Key features

  1. 01Read campaign status and search terms
  2. 02Plan changes from desired-state files
  3. 03Validate writes against policy caps
  4. 04Require plan IDs and record audit logs
  5. 05Check spend thresholds and attempt campaign pauses

Use cases

  1. 01Let an agent inspect campaign status and search terms
  2. 02Review budget or status changes before applying them
  3. 03Schedule threshold checks that attempt to pause campaigns

MCP support

AdRails runs as a local stdio MCP server and exposes Google Ads tools for reading, planning, applying, and monitoring changes. It connects directly to the Google Ads API using configured credentials, with no hosted endpoint.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbadrails-mcp-0.2.2.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AdRails (adrails.dev)

Guardrails for AI agents running your ads: an open-source, self-hosted Google Ads MCP server.

Website and docs: https://adrails.dev · MCP Registry: dev.adrails/adrails · plain-text summary for agents: https://adrails.dev/llms.txt

AdRails is a local MCP server for Google Ads. An agent may read campaigns, status and search terms as often as it likes; every write has to land in a reviewed desired-state file on disk, get diffed against live state, and clear caps that live in a policy file no AdRails tool writes. The Python package and module are still named adsops — that is the name you install and run.

Three things it does differently:

  • Your keys. It runs on your machine against your own Google Cloud project and Google Ads credentials. Nothing is hosted: the only endpoint the package talks to is the Google Ads API, and credentials are read from the sources you configure (a service-account JSON file, a static token, or a secret-manager lookup).
  • Your caps. Caps live in a policy file that no AdRails tool writes; with require_plan_id on, every commit must quote a fresh, single-use plan_id issued for that exact plan; and a change that adds spend exposure is refused while the scheduled guard's heartbeat is stale.
  • Pay per call in sats. Optional hosted add-ons, Lightning-first, metered per call in sats — coming soon. Nothing in this release contacts any hosted service.

Testing

python3 -m adsops --selftest           # 430 unit checks, everything mocked
python3 tests/qa_invariants.py         # 200 random sequences against a simulated Google Ads account
python3 tests/qa_inputs.py             # hostile policy/state/config inputs (NaN, Infinity, bad dates, bad UTF-8, ...)
python3 tests/qa_secrets.py            # canary tokens injected everywhere; none may reach output or logs

The QA suites were written adversarially by a separate agent with no write access to adsops/, and every finding was fixed or documented as intended behaviour.

What AdRails cannot guarantee

Read this before pointing it at a live account.

  • It is a threshold with automatic pause attempts, not a hard spend ceiling. The guard compares spend with numbers you wrote and issues pause operations. That is containment, not billing control.
  • Google can deliver up to 2x the average daily budget on a given day. A daily budget is an average, not a maximum, and a pause is an API call that can be rejected or land late.
  • Reporting is delayed. The spend figures AdRails reads are minutes to hours behind delivery.
  • The guard only acts when it is scheduled and the machine is awake. A chat-session MCP process is not a monitor: while the machine sleeps no checks run, spend keeps moving, and the heartbeat goes stale.
  • An agent with shell access as the same user can bypass any local tool. AdRails constrains the tool calls it serves, not the machine underneath. Sandbox the agent if that matters to you.
  • Wrong negative keywords can suppress good traffic. Negatives are append-only here, so a bad one is also awkward to withdraw.
  • You are responsible for your account and your spend. Keep platform-side billing limits as the real ceiling.

Quickstart

1. Install.

# from GitHub (PyPI release coming soon)
pipx install git+https://github.com/antonioac1/adrails     # console script: adsops-mcp
# or run without installing:
uvx --from git+https://github.com/antonioac1/adrails adsops-mcp --config /absolute/path/config.json

No other dependencies. Service-account tokens are signed with your system openssl when google-auth isn't installed (install google-auth if you prefer it).

The core is stdlib-only. Check it offline (everything mocked, no network):

python3 -m adsops --selftest      # or: deploy/smoke_docker.sh

2. Write a config. Every account, credential source and path lives here; paths are ~-expanded at load time.

{
  "tenant": "your-tenant",
  "meter_log": "~/.adsops/meter.jsonl",
  "audit_log": "~/.adsops/audit.jsonl",
  "plan_ledger": "~/.adsops/plans.jsonl",
  "lock_dir": "~/.adsops/locks",
  "guard_heartbeat": "~/.adsops/guard.heartbeat",
  "credentials": {"google_ads": {"type": "service_account",
      "sources": [{"kind": "file", "path": "~/.adsops/sa.json"}]}},
  "google_ads": {"api_version": "v24", "end_field": "end_date_time", "login_customer_id": null},
  "commit_policy": {"require_clean_git": true, "allow_commit": true, "allow_set": true},
  "accounts": [{"key": "main", "platform": "google_ads", "customer_id": "000-000-0000",
      "campaigns": [{"key": "search_core", "state_file": "~/ads/search_core.json",
                     "policy_file": "~/ads/search_core.policy.json"}]}]
}

commit_policy defaults to require_clean_git: true and allow_commit: false, so commits and adsops_set stay off until you turn them on.

3. Write the policy file for the campaign (next section), and commit both files to git so git diff is the change review.

4. Register the server in your MCP client. Diagnostics go to stderr; the server speaks JSON-RPC 2.0 over stdio, one object per line.

{
  "mcpServers": {
    "adrails": {
      "command": "python3",
      "args": ["-m", "adsops", "--config", "/absolute/path/config.json"]
    }
  }
}

5. Schedule the guard. A chat session cannot watch spend, so the pause-only spend check runs from your OS scheduler every 15 minutes. Templates for launchd, systemd and cron live in deploy/; render the placeholders (__PYTHON__, __CONFIG__, __PKG__, __LOGDIR__) and read deploy/GUARD.md before installing:

PY=$(command -v python3); CFG=/absolute/path/config.json
PKG=/absolute/dir/containing/adsops; LOGDIR="$HOME/.adsops/logs"
mkdir -p "$LOGDIR"
sed -e "s|__PYTHON__|$PY|g" -e "s|__CONFIG__|$CFG|g" \
    -e "s|__PKG__|$PKG|g" -e "s|__LOGDIR__|$LOGDIR|g" \
    deploy/launchd/com.adsops.guard.plist.template \
    > ~/Library/LaunchAgents/com.adsops.guard.plist
plutil -lint ~/Library/LaunchAgents/com.adsops.guard.plist
launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/com.adsops.guard.plist

The command all three units run is PYTHONPATH=$PKG $PY -m adsops --config $CFG guard-all.

Use it from Grok, Claude Code, Cursor or any MCP client

AdRails is a local stdio server, so every client registers the same command. There is no hosted URL, by design.

pip install git+https://github.com/antonioac1/[email protected]

# Claude Code
claude mcp add adrails -- python3 -m adsops --config /absolute/path/config.json
# Grok CLI (it also reads ~/.claude.json, .cursor/mcp.json and .mcp.json)
grok mcp add adrails -- python3 -m adsops --config /absolute/path/config.json

Cursor or a project .mcp.json:

{"mcpServers":{"adrails":{"command":"python3","args":["-m","adsops","--config","/absolute/path/config.json"]}}}

Claude Desktop: install the .mcpb bundle from the latest release. More: https://adrails.dev/docs/mcp-clients/

Tools

ToolWhat it does
adsops_campaignsLists the campaigns this deployment may operate: keys, accounts, state files, and the active commit policy.
adsops_statusLive read for one campaign: status, end date, daily budget, spend today and lifetime, negative count, whether caps come from the policy file, and the guard heartbeat's age.
adsops_termsClicked search terms for the last N days (1–90, default 14): term, matched keyword, clicks, cost.
adsops_planPure diff of the desired-state file against live state; writes nothing. Returns the operations, notes, ops_count, the exposure increases it found, and a single-use plan_id with its expiry.
adsops_applyValidate-only unless commit=true. A commit needs commit_policy.allow_commit, a clean git-tracked state file, a fresh guard heartbeat when the change adds exposure, and the plan_id from adsops_plan when the policy requires it.
adsops_setProposes a budget / status / end-date / negatives change with a short reason; checks it against policy caps and live state, writes the state file and commits it to git. dry_run=true returns a plan_id instead of writing; apply=true needs that plan_id when the policy requires it.
adsops_guardReads spend and pauses the campaign if the daily or lifetime threshold is crossed. Pause only: it never enables, raises a budget or edits keywords. Validate-only unless commit=true.
adsops_usageMetering summary for the tenant: calls, errors, units, ops and median latency per tool.

The policy file

One policy file per campaign, referenced by policy_file in the config. AdRails only ever reads it: no tool writes caps, and adsops_set refuses guards and allow_enable outright. If the state file also carries caps they are ignored — the policy file always wins, and adsops_status says so.

{
  "customer_id": "000-000-0000",
  "campaign_id": 1000000000,
  "guards": {
    "max_daily_budget_usd": 40,
    "min_daily_budget_usd": 5,
    "max_end_date": "2026-12-31",
    "lifetime_spend_pause_usd": 900,
    "daily_spend_pause_usd": 60,
    "max_ops_per_run": 12
  },
  "allow_enable": false,
  "max_guard_age_min": 30,
  "require_plan_id": true,
  "plan_ttl_s": 900
}
FieldMeaning
customer_idAccount the campaign lives in; compared with the state file after stripping dashes. A mismatch is refused.
campaign_idThe one campaign this policy governs; must match the state file exactly.
guards.max_daily_budget_usdRequired. Upper bound of the daily budget, and the budget ceiling checked at plan time.
guards.min_daily_budget_usdOptional. Lower bound of the daily budget; must not exceed the maximum.
guards.max_end_dateRequired, YYYY-MM-DD. Latest end date any plan may set.
guards.lifetime_spend_pause_usdRequired. Lifetime spend at which the guard issues a pause.
guards.daily_spend_pause_usdRequired. Today's spend at which the guard issues a pause.
guards.max_ops_per_runRequired integer. Most operations one run may emit; more is refused.
allow_enableDefault false. Whether a plan may ever set the campaign to ENABLED.
max_guard_age_minDefault null (check off). When set, any change that adds spend exposure is refused unless the guard heartbeat is younger than this.
require_plan_idDefault false. When true, apply/commit and adsops_set with apply=true must quote a plan_id.
plan_ttl_sDefault 900, range 60–86400. How long an issued plan_id stays usable; each one is consumed once.

A missing or malformed field is an error that names the field, not a silent default.

Desired-state file

One JSON file per campaign, referenced by state_file. It says what the campaign should look like; the server computes the diff.

{
  "customer_id": "000-000-0000",
  "campaign_id": 1000000000,
  "campaign_name": "Search - Core",
  "status": "PAUSED",
  "end_date": "2026-11-30",
  "daily_budget_usd": 20,
  "negatives_add": [
    {"text": "free", "match_type": "BROAD"},
    {"text": "cheap", "match_type": "PHRASE"}
  ],
  "guards": {
    "max_end_date": "2026-12-31",
    "min_daily_budget_usd": 5,
    "max_daily_budget_usd": 40,
    "lifetime_spend_pause_usd": 900,
    "daily_spend_pause_usd": 60,
    "max_ops_per_run": 12
  }
}
FieldMeaning
customer_idAccount the campaign lives in; dashes are stripped before use.
campaign_id / campaign_nameThe one campaign this file owns. Both must match live state or the run aborts.
statusDesired status, ENABLED or PAUSED. ENABLED additionally requires allow_enable in the policy.
end_dateDesired end date, YYYY-MM-DD, bounded by guards.max_end_date and not in the past.
daily_budget_usdDesired daily budget, bounded by the min/max guard band.
negatives_addAppend-only list of {text, match_type}; match type is BROAD, PHRASE or EXACT. Nothing here removes a keyword.
guardsRead only when the campaign has no policy_file (legacy mode). With a policy file configured, these are ignored.

Keep these files in git. That is what makes "reviewed desired state" real: git diff is the change review, and require_clean_git makes the server refuse to act on uncommitted edits.

Works with Google's official read-only google-ads-mcp

Run both servers side by side in the same MCP client. Google's server answers ad-hoc GAQL exploration and never writes; AdRails is the only write path. The agent reads with the official server, proposes a change to a desired-state or policy file, and applies it through adsops_plan / adsops_apply — with caps, a validate pass, an account lock, and an audit line in between. Both speak JSON-RPC over stdio, so one .mcp.json entry each is the whole setup.

License

Apache-2.0.

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