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Adops Mcp

  • Updated July 25, 2026
  • enzoemir1/adops-mcp

io.github.enzoemir1/adops-mcp is a MCP server for CSV-first Google Ads and Meta Ads reporting, anomaly detection, and budget optimization.

About

io.github.enzoemir1/adops-mcp is a stdio MCP server aimed at founders and marketers who export Google Ads and Meta Ads data and want an agent to help interpret it. The CSV-first design matches how many indies already work: download reports, drop them into a folder, then ask for summaries, odd spikes, or where to trim spend. Described capabilities span reporting, anomaly detection, and budget optimization—useful when you are growing a SaaS, ecommerce side project, or content offer with a modest paid budget and no full-time media buyer. Register the npm adops-mcp-server entry in Claude Code or Cursor, feed exports your platforms allow, and treat outputs as decision support rather than autonomous bid changes unless your tools explicitly support writes. Pair it with your own naming conventions for campaigns so the agent can compare weeks consistently.

  • CSV-first workflow for Google Ads and Meta Ads performance files
  • Reporting, anomaly detection, and budget optimization oriented tooling (v1.3.0)
  • Stdio npm package adops-mcp-server for MCP-capable agents
  • Keeps ad platform analysis in the agent thread instead of spreadsheet-only rituals
  • MCP analytics server—not a creative brief or landing-page copy skill

Adops Mcp by the numbers

  • Data as of Jul 26, 2026 (Skillselion catalog sync)
terminal
claude mcp add adops-mcp-server -- npx -y adops-mcp-server

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Packageadops-mcp-server
TransportSTDIO
AuthNone
Last updatedJuly 25, 2026
Repositoryenzoemir1/adops-mcp

What it does

Analyze Google Ads and Meta Ads exports in CSV form for reporting, spikes, and budget moves without living in each ads UI.

Who is it for?

Best when you're running paid search and Meta campaigns and routinely export CSVs and want faster analytics in your coding agent.

Skip if: Skip if you need live API-only bid automation with no exports, or brands with no Google/Meta ad spend.

What you get

After install, your agent can work from exported ad data to surface reports, flag anomalies, and inform budget tweaks in conversation.

  • MCP-connected ads analytics workflow from CSV inputs
  • Agent-assisted performance summaries and anomaly-oriented review
  • Budget optimization recommendations grounded in your export files

By the numbers

  • Server schema version 1.3.0
  • npm identifier adops-mcp-server with stdio transport
  • Documented focus on two ad platforms: Google Ads and Meta Ads
README.md

AdOps MCP

CSV-first analytics & optimization for Google Ads + Meta Ads — inside Claude, Cursor, and any MCP client.

License: MIT TypeScript MCP

Export a CSV from Google Ads or Meta Ads Manager → import into AdOps → ask your AI assistant anything about your campaigns.

No OAuth. No developer tokens. No API approval queues. Your data stays on your machine.


Why CSV-first?

Google Ads API and Meta Marketing API are powerful but gated: developer token approval takes days, Meta app review takes weeks, OAuth flows are fragile. For most advertisers those barriers never clear.

AdOps takes a different path. Every ad platform's dashboard already has a Download / Export button that produces a CSV of exactly what you care about: campaign performance, day-segmented metrics, spend, conversions, ROAS. AdOps reads that CSV and runs the same analysis you'd get from a $200/mo optimization suite — anomaly detection, budget allocation, A/B significance, forecasting, industry benchmarks — directly inside your AI assistant.

You stay in control of your data. You don't hand credentials to a third party. You don't wait 3 weeks for a review.


Features

  • 17 MCP tools covering the full ad analytics lifecycle
  • 4 MCP resources for at-a-glance dashboards
  • CSV import from Google Ads Editor, Google Ads web UI, and Meta Ads Manager — with automatic format detection (US vs European number formatting, CRLF vs LF, BOM handling)
  • Unified cross-platform schema — Google and Meta campaigns normalized into a single UnifiedCampaign / UnifiedMetrics model
  • AI-powered recommendations — budget reallocation, scaling high-ROAS campaigns, pausing zero-conversion ones
  • Bulk-edit CSV export — turn recommendations into Google Ads Editor / Meta Ads Manager CSVs you can paste straight into the dashboard for one-click bulk updates
  • Statistical anomaly detection — CPC spikes, CTR drops, spend surges, sensitivity-configurable
  • A/B test analysis with confidence scoring
  • 9-vertical industry benchmarks built-in (eCommerce, SaaS, B2B, etc.)
  • Spend & conversion forecasting (7/14/30 days)
  • Demo mode — seed a realistic portfolio to try the tools before importing your own data
  • 91 automated tests — TypeScript strict mode, Zod validation throughout

Quick Start

npm i adops-mcp-server

Add to your MCP client (Claude Desktop claude_desktop_config.json, Cursor, VS Code, Windsurf):

{
  "mcpServers": {
    "adops": {
      "command": "node",
      "args": ["path/to/node_modules/adops-mcp-server/dist/index.js"]
    }
  }
}

Restart your client. Then, inside Claude:

> Seed demo data so I can explore AdOps

(calls ad_demo_seed)

Or import your real data:

> Import ~/Downloads/google-ads-report.csv as a Google Ads CSV

(calls ad_csv_import with platform=google, csv_path=...)


Exporting CSV from Your Ad Dashboard

Google Ads

  1. Open ads.google.comCampaigns view
  2. (Optional) Click Segment → Day in the toolbar for daily metrics
  3. Click Download (⬇) icon → choose .csv format
  4. Save to disk, give the absolute path to ad_csv_import

Meta Ads Manager

  1. Open business.facebook.comAds Manager
  2. Switch to Campaigns tab (not Ad Sets or Ads — campaign-level rollups)
  3. (Optional) Breakdown → Time → Day for daily metrics
  4. Click Reports → Export → Campaign performance (.csv)
  5. Save to disk, give the absolute path to ad_csv_import

Both exports work out-of-the-box with or without day segmentation. Without a Day column, you get one aggregated metric row per campaign. With Day segmentation, you get daily time-series data — which powers forecasting and anomaly detection properly.


Tools

Tool Description
ad_demo_seed Seed a realistic cross-platform demo portfolio (8 campaigns, 30 days of metrics) to try AdOps before importing real data
ad_csv_import Import a Google Ads or Meta Ads CSV export — every other tool operates on this data
ads_export_recommendations Export budget_analyze recommendations as Google Ads Editor CSV, Meta Ads Manager CSV, JSON, or Markdown — one bulk-paste and your ad dashboard reflects the AI's plan
platform_connect Register a data source connection manually (alternative to CSV import, for scripted workflows)
campaign_list List and filter campaigns across all imported platforms
campaign_create Add a campaign manually (useful for what-if planning)
campaign_update Update campaign settings in local storage (budget, status, bidding, schedule)
campaign_pause_resume Batch pause or resume up to 50 campaigns
ads_report Generate unified cross-platform performance report
budget_analyze Analyze budget allocation, produce scaling/pausing recommendations
budget_reallocate Transfer budget between campaigns across platforms
audience_insights Demographic / geographic / device breakdowns
creative_specs Platform-specific image, video, and text requirements reference
anomaly_detect Detect performance anomalies with configurable sensitivity
ab_test_analyze Compare two campaigns with statistical significance testing
competitor_benchmark Compare your metrics against industry averages (9 verticals)
forecast_spend Forecast spend, conversions, ROAS for the next 7/14/30 days

Resources

Resource Description
ads://overview Cross-platform dashboard summary
ads://campaigns All active campaigns with key metrics
ads://budget Budget allocation across platforms
ads://alerts Recent performance anomalies and warnings

Unified Metrics Schema

AdOps normalizes metrics across platforms:

Metric Formula Notes
CTR clicks / impressions × 100 Click-through rate (%)
CPC spend / clicks Cost per click
CPM spend / impressions × 1000 Cost per 1000 impressions
ROAS conversion_value / spend Return on ad spend
CPA spend / conversions Cost per acquisition
Conversion Rate conversions / clicks × 100 %

CSV column mapping:

AdOps Field Google Ads CSV Meta Ads CSV
spend Cost (USD equivalent auto-converted if micros) Amount spent (USD/EUR/...)
impressions Impressions Impressions
clicks Clicks Link clicks
conversions Conversions Results (Purchases/Leads/etc.)
conversion_value Conv. value Purchases conversion value
reach Reach (Meta-only)
quality_score Quality Score (if present) — (Google-only)

European locale numbers (125,50 = 125.50) and semicolon-delimited CSVs are auto-detected.


Configuration

AdOps is stateless from the network's point of view — no API keys, no OAuth. The only configuration is where it persists imported data:

Variable Description Default
ADOPS_DATA_DIR Directory for JSON persistence ./data

All other behavior is controlled via tool arguments.


Pricing

Tier Price Features
Free $0 1 imported CSV per day, demo mode, all 17 tools read-only
Pro €24 lifetime Unlimited imports, full CRUD, all analytics tools
Agency $59/mo Multi-account, white-label reports, priority support

Available via GitHub (self-hosted, free) or the MCPize marketplace (managed).


Development

git clone https://github.com/enzoemir1/adops-mcp.git
cd adops-mcp
npm ci
npm run build
npm test           # 91 tests across 10 suites
npm run inspect    # Open MCP Inspector

Tests

91 tests covering:

  • CSV parser (11 tests): RFC 4180 quoting, BOM, European/US number formats, delimiter detection
  • Google Ads CSV import (7 tests): campaigns report, day segmentation, objective mapping, European locale
  • Meta Ads CSV import (5 tests): Meta-specific columns, currency detection from header, objective mapping, reach/frequency capture
  • Export recommendations (8 tests): Google Ads Editor CSV format, Meta Ads Manager CSV format, JSON wrapper, Markdown rendering, min_delta_pct filter, limit, by_type summary
  • Storage: Connection CRUD, campaign search, metrics aggregation, batch inserts
  • Analytics: Metric calculations, performance reports, forecasting, benchmarks
  • Optimizer: Budget analysis, reallocation, scaling/pausing recommendations
  • Anomaly: CPC spike detection, conversion drops, sensitivity, severity sorting
  • E2E Workflow: 14 real user scenarios

Roadmap

  • v1.3 — Add Google Ads Editor .csv.gz and Excel .xlsx support
  • v1.4 — Live Google Ads / Meta Ads API integration as an optional enterprise feature (BYOK — bring your own developer token + app review)
  • v2.0 — Multi-user server mode with JWT auth for team deployments

Pro License

AdOps ships in Free modead_demo_seed, ad_csv_import, platform_connect, campaign_list, campaign_create, campaign_update, campaign_pause_resume, ads_report, budget_reallocate, audience_insights, and creative_specs are open. The following tools require a Pro license:

  • ads_export_recommendations — bulk-edit CSV export for Google Ads Editor / Meta Ads Manager
  • budget_analyze — AI budget allocation analysis with action recommendations
  • anomaly_detect — statistical anomaly detection
  • ab_test_analyze — A/B test z-test with significance + uplift
  • forecast_spend — 7/14/30-day spend & ROAS forecast
  • competitor_benchmark — industry benchmark comparison

Buy a Pro License (€24, lifetime, 3 machines): https://automatiabcn.lemonsqueezy.com/buy/1525c929-832c-4472-a88a-58edbfa4e87b

Or get the Indie MCP Stack Bundle (€69, all 4 servers).

export LEMONSQUEEZY_LICENSE_KEY=YOUR-KEY-HERE

Or in your MCP client config:

{
  "mcpServers": {
    "adops-mcp": {
      "command": "npx",
      "args": ["-y", "adops-mcp-server"],
      "env": { "LEMONSQUEEZY_LICENSE_KEY": "YOUR-KEY-HERE" }
    }
  }
}

Validation is cached locally for 24 h — fully offline-capable after first run.


License

MIT License. See LICENSE for details.

Built by Automatia BCN.

Recommended MCP Servers

How it compares

CSV-oriented ads analytics MCP, not a creative generation skill or a full marketing automation suite.

FAQ

Who is adops-mcp for?

Independent founders and marketers who manage Google Ads and Meta Ads and want MCP-backed reporting and optimization help from CSV exports.

When should I use adops-mcp?

Use it in Grow when reviewing weekly or monthly ad performance, investigating spend spikes, or planning budget shifts.

How do I add adops-mcp to my agent?

Install adops-mcp-server from npm, register the stdio MCP server in your agent config, then provide Google Ads and Meta Ads CSV exports the server expects.

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