Adops Mcp

io.github.enzoemir1Published by GitHub account enzoemir1v1.3.0Updated Oct 24, 2026

CSV-first analytics for Google Ads + Meta Ads: reporting, anomaly detection, budget optimization.

VerifiedSTDIODesktop onlyData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

Local MCP server that imports Google Ads and Meta Ads CSV exports and lets an assistant analyze campaigns, budgets, anomalies and forecasts.

What you can do
  • Import Google Ads or Meta Ads CSV exports, or seed a demo portfolio, into local storage
  • List, filter, create, update, pause and resume campaigns across platforms
  • Generate cross-platform performance reports and audience breakdowns
  • Analyze budget allocation, reallocate spend and export recommendations as bulk-edit CSVs
  • Detect anomalies, run A/B significance tests, compare against industry benchmarks and forecast spend
  • Read dashboard resources for overview, campaigns, budget and alerts
When to use it
Useful for advertisers and marketers who want AI-assisted analysis of Google Ads and Meta Ads performance without going through API approvals, working from dashboard CSV exports. Suited to budget planning, anomaly review, A/B evaluation and spend forecasting.
Requirements
Runs as a local Node.js process installed from the npm package adops-mcp-server and launched via node. No OAuth, API keys or developer tokens. Optional ADOPS_DATA_DIR variable sets where imported data is persisted (default ./data). CSV exports must be saved to disk and given by absolute path.
Before you install
Imported campaign data, including spend and conversion figures, is stored locally in the data directory. Campaign updates, pauses and budget reallocations change local records, not the live ad platforms; applying them requires pasting exported CSVs into the ad dashboards. The README lists paid tiers (Pro, Agency) alongside a free tier with limited imports and read-only tools.

Installation

In SourceWeft

  1. Open Adops Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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

bash
npm i adops-mcp-server

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

json
{  "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.com → Campaigns 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.com → Ads 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

ToolDescription
ad_demo_seedSeed a realistic cross-platform demo portfolio (8 campaigns, 30 days of metrics) to try AdOps before importing real data
ad_csv_importImport a Google Ads or Meta Ads CSV export — every other tool operates on this data
ads_export_recommendationsExport 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_connectRegister a data source connection manually (alternative to CSV import, for scripted workflows)
campaign_listList and filter campaigns across all imported platforms
campaign_createAdd a campaign manually (useful for what-if planning)
campaign_updateUpdate campaign settings in local storage (budget, status, bidding, schedule)
campaign_pause_resumeBatch pause or resume up to 50 campaigns
ads_reportGenerate unified cross-platform performance report
budget_analyzeAnalyze budget allocation, produce scaling/pausing recommendations
budget_reallocateTransfer budget between campaigns across platforms
audience_insightsDemographic / geographic / device breakdowns
creative_specsPlatform-specific image, video, and text requirements reference
anomaly_detectDetect performance anomalies with configurable sensitivity
ab_test_analyzeCompare two campaigns with statistical significance testing
competitor_benchmarkCompare your metrics against industry averages (9 verticals)
forecast_spendForecast spend, conversions, ROAS for the next 7/14/30 days

Resources

ResourceDescription
ads://overviewCross-platform dashboard summary
ads://campaignsAll active campaigns with key metrics
ads://budgetBudget allocation across platforms
ads://alertsRecent performance anomalies and warnings

Unified Metrics Schema

AdOps normalizes metrics across platforms:

MetricFormulaNotes
CTRclicks / impressions × 100Click-through rate (%)
CPCspend / clicksCost per click
CPMspend / impressions × 1000Cost per 1000 impressions
ROASconversion_value / spendReturn on ad spend
CPAspend / conversionsCost per acquisition
Conversion Rateconversions / clicks × 100%

CSV column mapping:

AdOps FieldGoogle Ads CSVMeta Ads CSV
spendCost (USD equivalent auto-converted if micros)Amount spent (USD/EUR/...)
impressionsImpressionsImpressions
clicksClicksLink clicks
conversionsConversionsResults (Purchases/Leads/etc.)
conversion_valueConv. valuePurchases conversion value
reach—Reach (Meta-only)
quality_scoreQuality 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:

VariableDescriptionDefault
ADOPS_DATA_DIRDirectory for JSON persistence./data

All other behavior is controlled via tool arguments.


Pricing

TierPriceFeatures
Free$01 imported CSV per day, demo mode, all 17 tools read-only
Pro€24 lifetimeUnlimited imports, full CRUD, all analytics tools
Agency$59/moMulti-account, white-label reports, priority support

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


Development

bash
git clone https://github.com/enzoemir1/adops-mcp.gitcd adops-mcpnpm cinpm run buildnpm test           # 91 tests across 10 suitesnpm 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 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 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).

bash
export LEMONSQUEEZY_LICENSE_KEY=YOUR-KEY-HERE

Or in your MCP client config:

json
{  "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.

Source: README.md at commit 657183a

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.3.0LatestSep 16, 2026

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