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https://github.com/davidmosiah/google-ads-intent-mcp

Dry-run-first Google Ads search-term intent analyzer and negative-keyword MCP for agents.
https://github.com/davidmosiah/google-ads-intent-mcp

ads-automation agent-tools agentic-workflows ai-agents claude codex dry-run google-ads google-ads-api local-first mcp mcp-server negative-keywords ppc pypi python search-terms

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Dry-run-first Google Ads search-term intent analyzer and negative-keyword MCP for agents.

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Google Ads Intent MCP


Google Ads Intent MCP


Dry-run-first Google Ads search-term intent analyzer + negative-keyword MCP for agents.
Look at search terms safely before spending budget.


npm version
npm downloads
License MIT
Built for MCP


GitHub stars
CI status
Part of the Delx agent stack
Category

> ⭐ **If this agent-first tool helps your workflow, please star the repo.** Stars make this tooling easier for other builders to discover and help Delx keep shipping open infrastructure.

> 🧱 Part of the [Delx agent stack](https://github.com/davidmosiah) — 15 open-source MCP servers across **body, reach and coordination**.

---

Dry-run-first Google Ads search-term intent analyzer for agents. It helps Codex, Claude, Cursor, Hermes, OpenClaw and other MCP clients classify search terms, protect buyer intent and draft negative-keyword plans from CSV exports before any live account change.

Use it when an agent needs to reduce wasted spend without accidentally excluding buyer-intent queries.

## Why It Exists

Google Ads cleanup is risky when agents act directly on accounts. This package makes the safe path the default:

- analyze exported search-term CSVs locally
- classify waste, buyer, research and competitor intent
- draft negative-keyword plans without applying them
- expose `manifest`, `connection_status` and `privacy_audit` before action tools
- keep live mutation out of v0.1

## Install

```bash
pipx install google-ads-intent-mcp
```

With MCP support:

```bash
pipx install "google-ads-intent-mcp[mcp]"
```

Published on PyPI: [`google-ads-intent-mcp`](https://pypi.org/project/google-ads-intent-mcp/). Release automation uses PyPI Trusted Publishing, so GitHub Actions can publish future versions without long-lived PyPI tokens. See [docs/pypi-publishing.md](docs/pypi-publishing.md).

## CLI

```bash
google-ads-intent manifest --client codex
google-ads-intent doctor
google-ads-intent privacy-audit
google-ads-intent classify "free robux generator no verification"
google-ads-intent analyze-csv --csv examples/search_terms.csv
google-ads-intent plan-negatives --csv examples/search_terms.csv
```

### Intent classification

The classifier is a deterministic, dependency-free heuristic with broad,
cross-vertical signal coverage (ecommerce, B2B/SaaS, local services, health,
finance, education and more) — not just gaming traffic. It sorts each search
term into `waste`, `buyer`, `research` or `competitor` intent and protects
converting queries from being flagged as negatives.

An **optional** LLM/embeddings-backed refinement path is available and is
**off by default**. It requires no extra dependencies or API keys for normal
use, and always falls back to the heuristic when no backend is configured:

```bash
# Opt in via flag (falls back to the heuristic if nothing is configured)
google-ads-intent --llm classify "crm software pricing"

# Or via environment variable
GOOGLE_ADS_INTENT_LLM=1 google-ads-intent analyze-csv --csv export.csv
```

To actually call a backend, set `OPENAI_API_KEY` (and optionally
`GOOGLE_ADS_INTENT_LLM_MODEL`, default `gpt-4o-mini`) and install the `openai`
package. Without those, `--llm` is a no-op that keeps the heuristic result.
Each classification reports which path produced it via a `source`
(`heuristic` or `llm`) field.

## MCP

```bash
google-ads-intent-mcp
```

Hermes-style config:

```yaml
mcp_servers:
google_ads_intent:
command: google-ads-intent-mcp
args: []
sampling:
enabled: false
```

Recommended first calls:

1. `google_ads_connection_status`
2. `google_ads_privacy_audit`
3. `google_ads_analyze_search_terms`
4. `google_ads_build_negative_plan`

## Agent Surfaces

| Tool | Purpose |
|---|---|
| `google_ads_agent_manifest` | Install/runtime guidance for agent clients |
| `google_ads_connection_status` | CSV/API readiness without credentials |
| `google_ads_privacy_audit` | Dry-run, account and export boundaries |
| `google_ads_classify_search_term` | Single-query intent classification |
| `google_ads_analyze_search_terms` | Batch CSV-style analysis |
| `google_ads_build_negative_plan` | Dry-run negative keyword plan |

## Copy-Paste Agent Prompt

```text
Use google-ads-intent-mcp. First call google_ads_connection_status and google_ads_privacy_audit.
Analyze the search terms, protect buyer/conversion queries, and return a dry-run negative plan only.
```

## CSV Format

The parser accepts common exported columns such as:

- `search_term`, `Search term`, `Query`
- `cost`, `Cost`, `cost_micros`
- `clicks`, `Clicks`
- `conversions`, `Conversions`, `Conv.`
- `impressions`, `Impr.`, `Impressions`

## Safety Model

- CSV analysis is local.
- Negative plans are dry-run only.
- Buyer/conversion terms are protected from automatic exclusion.
- OAuth tokens, developer tokens and account identifiers should stay in local environment/config files.

## Development

```bash
python3 -m venv .venv
. .venv/bin/activate
pip install -e ".[dev]"
pytest
python -m compileall -q src
```

---

## 📧 Contact & Support

- 📨 **support@delx.ai** — general questions, integration help, partnerships
- 🐛 **Bug reports / feature requests** — [GitHub Issues](https://github.com/davidmosiah/google-ads-intent-mcp/issues)
- 🐦 **Updates** — [@delx369](https://x.com/delx369) on X
- 🌐 **Site** — [wellness.delx.ai](https://wellness.delx.ai)