
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)
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| Package | adops-mcp-server |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | July 25, 2026 |
| Repository | enzoemir1/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.
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/UnifiedMetricsmodel - 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
- Open ads.google.com → Campaigns view
- (Optional) Click Segment → Day in the toolbar for daily metrics
- Click Download (⬇) icon → choose .csv format
- Save to disk, give the absolute path to
ad_csv_import
Meta Ads Manager
- Open business.facebook.com → Ads Manager
- Switch to Campaigns tab (not Ad Sets or Ads — campaign-level rollups)
- (Optional) Breakdown → Time → Day for daily metrics
- Click Reports → Export → Campaign performance (.csv)
- 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.gzand Excel.xlsxsupport - 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 mode — ad_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 Managerbudget_analyze— AI budget allocation analysis with action recommendationsanomaly_detect— statistical anomaly detectionab_test_analyze— A/B test z-test with significance + upliftforecast_spend— 7/14/30-day spend & ROAS forecastcompetitor_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.
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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.