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Google Ads Intent MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:29:43 PM

Google Ads Intent MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "google-ads-intent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "google-ads-intent-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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

mcp-name: io.github.davidmosiah/google-ads-intent-mcp

⭐ 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 β€” 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.

HTTP (v2 stateless)

Not shipped. Optional FastMCP extra is stdio-only (same skip as delx-agent-utilities: no /health without extra Starlette routes). Dry-run analysis stays request-stateless over stdio.

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. Release automation uses PyPI Trusted Publishing, so GitHub Actions can publish future versions without long-lived PyPI tokens. See 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) β€” 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

ToolPurpose
google_ads_agent_manifestInstall/runtime guidance for agent clients
google_ads_connection_statusCSV/API readiness without credentials
google_ads_privacy_auditDry-run, account and export boundaries
google_ads_classify_search_termSingle-query intent classification
google_ads_analyze_search_termsBatch CSV-style analysis
google_ads_build_negative_planDry-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

πŸ“§ Contact & Support

  • πŸ“¨ support@delx.ai β€” general questions, integration help, partnerships
  • πŸ› Bug reports / feature requests β€” GitHub Issues
  • 🐦 Updates β€” @delx369 on X
  • 🌐 Site β€” wellness.delx.ai

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Google Ads Intent MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "google-ads-intent-mcp": { "command": "npx", "args": ["-y", "google-ads-intent-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
31Quality signal: Emerging Β· 31/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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