io.github.enzoemir1/adops-mcp

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Versions auditées & empreintes

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Les 17 outils

• ad_demo_seed≈ 142 tokens

  Create a realistic cross-platform ad portfolio for trying AdOps without real data. Seeds 2 connections (Google + Meta), 8 campaigns across performance tiers, 30 days of daily metrics (240 rows), and pre-computed anomaly alerts. Use this to explore what AdOps can do, then switch to `ad_csv_import` with your real Google/Meta exports for production use. Safe to call multiple times — appends a new portfolio each call.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "ad_demo_seed", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• ad_csv_import≈ 462 tokens

  Import real campaign + performance data from a Google Ads or Meta Ads CSV export. After import, every AdOps tool (ads_report, budget_analyze, anomaly_detect, ab_test_analyze, competitor_benchmark, forecast_spend) operates on your real data. No API keys or OAuth required — just export from your ad dashboard and import here. HOW TO EXPORT: • Google Ads: Reports → Campaign performance → Download → Comma-separated (.csv). Include "Day" segment for daily metrics. • Meta Ads Manager: Campaigns view → Export → Campaign performance (.csv). Check "Include breakdowns: By day" for daily metrics. INPUT: Provide either csv_path (absolute path to file on disk) OR csv_content (raw CSV string). Optional connection_name groups imports; re-importing with the same name appends new data. Returns a summa

  Paramètres, retour & exemple (5)

  Paramètres

  • csv_path · string · optionnel
    Absolute path to a CSV file on disk. Preferred for large exports. Example: "/Users/you/Downloads/google_ads_report.csv"
  • platform · string · requis · google | meta
    Which platform the CSV is from: "google" (Google Ads Editor or web UI export) or "meta" (Meta Ads Manager → Export → Campaigns)
  • account_id · string · optionnel
    Your platform account ID (e.g., Google customer ID "123-456-7890" or Meta "act_1234567890"). Used to identify the connection.
  • csv_content · string · optionnel
    Raw CSV content as a string. Use for small exports pasted directly into the tool.
  • connection_name · string · optionnel
    Friendly name for this data source (e.g., "ACME Google Account"). Defaults to "<Platform> Ads (CSV Import)".

  Exemple d'appel

  {"name": "ad_csv_import", "arguments": {"platform": "google"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• ads_export_recommendations≈ 549 tokens

  Export budget_analyze recommendations as a Google Ads Editor CSV, Meta Ads Manager CSV, JSON, or Markdown — so you can take action in one bulk paste instead of editing campaigns one by one. AdOps does not call Google/Meta write APIs (that would require OAuth + developer token approval for every user); instead, this tool hands you the exact CSV rows those dashboards expect, and you paste them in. Perfect for the "pause anything with CPA over 50 and reallocate budget" workflow. Use platform=google with format=google_ads_csv (import into Google Ads Editor). Use platform=meta with format=meta_ads_csv (bulk edit in Meta Ads Manager Power Editor). Use json to pipe into n8n or your own automation. Use markdown for human review before acting. min_delta_pct filters out noise (e.g. 0.15 = only show

  Paramètres, retour & exemple (6)

  Paramètres

  • limit · integer · optionnel
    Max recommendations to export. Default 50.
  • format · string · requis · google_ads_csv | meta_ads_csv | json | markdown
    Output format. google_ads_csv and meta_ads_csv produce platform-specific bulk-edit CSVs ready to paste into Google Ads Editor or Meta Ads Manager. json is for piping into automations (n8n, Zapier). markdown is for standup docs or tickets.
  • platform · string · optionnel · google | meta
    Restrict to a single platform. Required for google_ads_csv or meta_ads_csv to avoid mixed output.
  • output_path · string · optionnel
    Absolute file path to write the output to. If omitted, returns the content inline in the tool response.
  • min_delta_pct · number · optionnel
    Only include recommendations whose budget change is at least this fraction (e.g. 0.1 = 10%). Filters out minor adjustments.
  • optimization_goal · string · optionnel · maximize_roas | maximize_conversions | minimize_cpa
    Goal fed to budget_analyze.

  Exemple d'appel

  {"name": "ads_export_recommendations", "arguments": {"format": "google_ads_csv"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• platform_connect≈ 250 tokens

  Register a Google Ads or Meta Ads account in the AdOps workspace so subsequent tools (campaign_list, campaign_create, ads_report) can target it. Input: platform ("google_ads"|"meta_ads"), name (display label), account_id (the external ad account id). Returns the stored connection object with a generated UUID and status="active". Safe to call with the same platform+account_id — returns the existing connection instead of erroring (idempotent).

  Paramètres, retour & exemple (3)

  Paramètres

  • name · string · requis
    Friendly connection name
  • platform · string · requis · google | meta
    Ad platform to connect
  • account_id · string · requis
    Platform-specific ad account ID (Google: 10 digits, Meta: act_XXXXXXXXX)

  Exemple d'appel

  {"name": "platform_connect", "arguments": {"name": "texte", "platform": "google", "account_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• campaign_list≈ 286 tokens

  Unified listing of campaigns across Google Ads and Meta Ads in a single view. Optional filters: platform ("google_ads"|"meta_ads"), status ("draft"|"active"|"paused"|"ended"|"archived"), query (free-text over campaign name). Pagination via limit (default 20, max 100) and offset. Returns {total, showing, offset, campaigns[]} where each campaign summary includes id, name, platform, status, objective, daily_budget, currency, and start_date. Use the returned id with campaign_update, campaign_pause_resume, or ab_test_analyze.

  Paramètres, retour & exemple (5)

  Paramètres

  • limit · integer · optionnel
  • query · string · optionnel
    Search campaign names
  • offset · integer · optionnel
  • status · string · optionnel · active | paused | completed | draft | removed
    Filter by status
  • platform · string · optionnel · google | meta
    Filter by platform

  Exemple d'appel

  {"name": "campaign_list", "arguments": {"limit": 1, "query": "texte", "offset": 1, "status": "active", "platform": "google"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• campaign_create≈ 536 tokens

  Create a new ad campaign in the AdOps workspace. Accepts unified parameters (platform, name, objective, bidding_strategy, daily_budget, currency, start_date, end_date, targeting) and stores a canonical UnifiedCampaign record with status="draft". Returns the created campaign summary plus next_steps guidance. Requires an active platform connection (see platform_connect) — will auto-associate the first active connection for the chosen platform.

  Paramètres, retour & exemple (9)

  Paramètres

  • name · string · requis
    Campaign name
  • currency · string · optionnel
    ISO 4217 currency
  • end_date · string · optionnel
    ISO date (optional)
  • platform · string · requis · google | meta
    Target platform
  • objective · string · requis · awareness | reach | traffic | engagement | leads | conversions | sales | app_installs
    Campaign objective
  • targeting · object · optionnel
  • start_date · string · optionnel
    ISO date (defaults to today)
  • daily_budget · number · requis
    Daily budget
  • bidding_strategy · string · optionnel · manual_cpc | target_cpa | target_roas | maximize_conversions | maximize_clicks | maximize_conversion_value | lowest_cost | cost_cap
    Bidding strategy

  Exemple d'appel

  {"name": "campaign_create", "arguments": {"name": "texte", "platform": "google", "objective": "awareness", "daily_budget": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• campaign_update≈ 330 tokens

  Patch-update an existing campaign. Pass campaign_id (UUID from campaign_list or campaign_create) plus any subset of: name, status, daily_budget, bidding_strategy, end_date. Fields you omit are left unchanged. Returns {message, updated_fields[], campaign} or an error if campaign_id is not found. Prefer campaign_pause_resume for batch status changes.

  Paramètres, retour & exemple (7)

  Paramètres

  • name · string · optionnel
  • status · string · optionnel · active | paused | completed | draft | removed
  • end_date · string|null · optionnel
  • campaign_id · string · requis
    AdOps campaign ID
  • daily_budget · number · optionnel
  • total_budget · ? · optionnel
  • bidding_strategy · string · optionnel · manual_cpc | target_cpa | target_roas | maximize_conversions | maximize_clicks | maximize_conversion_value | lowest_cost | cost_cap

  Exemple d'appel

  {"name": "campaign_update", "arguments": {"campaign_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• campaign_pause_resume≈ 246 tokens

  Batch-change the status of up to 50 campaigns in one call. action="pause" sets status to "paused"; action="resume" sets status to "active". Missing campaign_ids are reported in the errors array but do not fail the whole batch. Returns {action, updated, failed, campaigns[], errors?}. Use this for emergency pause during an incident or weekend shutoff.

  Paramètres, retour & exemple (2)

  Paramètres

  • action · string · requis · pause | resume
    Action to perform
  • campaign_ids · array · requis
    Campaign IDs to toggle

  Exemple d'appel

  {"name": "campaign_pause_resume", "arguments": {"action": "pause", "campaign_ids": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• ads_report≈ 381 tokens

  Aggregate performance metrics across Google Ads and Meta Ads into a single unified view. Input: date_range ({start, end} as YYYY-MM-DD, defaults to the last 7 days), optional platform filter, optional campaign_ids filter, optional sort_by ("spend"|"roas"|"conversions"|"ctr"|"cpc"), and limit. Returns {period, totals (spend, impressions, clicks, conversions, revenue, ROAS, CPC, CTR), by_platform, campaigns[] (sorted per sort_by), top_performers, underperformers}. This is the entry point for most analysis workflows.

  Paramètres, retour & exemple (5)

  Paramètres

  • limit · integer · optionnel
  • sort_by · string · optionnel · spend | roas | conversions | clicks | ctr
  • platform · string · optionnel · google | meta
    Filter by platform
  • date_range · object · optionnel
    Defaults to last 7 days
  • campaign_ids · array · optionnel
    Filter specific campaigns

  Exemple d'appel

  {"name": "ads_report", "arguments": {"limit": 1, "sort_by": "spend", "platform": "google", "date_range": {}, "campaign_ids": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• budget_analyze≈ 211 tokens

  Analyze how the current ad budget is distributed and produce actionable reallocation recommendations. Input: optimization_goal ("maximize_roas"|"maximize_conversions"|"minimize_cpa") and optional platform filter. Returns {goal, current_allocation (by platform + campaign), recommendations[] (each with campaign_id, current_budget, suggested_budget, rationale, expected_impact), projected_lift}. Pair with budget_reallocate to execute the recommendations.

  Paramètres, retour & exemple (2)

  Paramètres

  • platform · string · optionnel · google | meta
    Filter by platform
  • optimization_goal · string · optionnel · maximize_roas | maximize_conversions | minimize_cpa

  Exemple d'appel

  {"name": "budget_analyze", "arguments": {"platform": "google", "optimization_goal": "maximize_roas"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• budget_reallocate≈ 322 tokens

  Transfer a dollar amount from one campaign's daily budget to another. Works across platforms (e.g. shift $50/day from a Google Ads search campaign to a Meta Ads retargeting campaign). Input: from_campaign_id, to_campaign_id (UUIDs, must differ), amount (positive number in campaign currency). Rejects the call if from_campaign_id === to_campaign_id or if the source campaign would go below zero. Returns the updated budgets for both campaigns.

  Paramètres, retour & exemple (3)

  Paramètres

  • amount · number · requis
    Amount to transfer
  • to_campaign_id · string · requis
    Destination campaign
  • from_campaign_id · string · requis
    Source campaign

  Exemple d'appel

  {"name": "budget_reallocate", "arguments": {"amount": 1, "to_campaign_id": "texte", "from_campaign_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• audience_insights≈ 232 tokens

  Demographic and behavioural breakdown of the audiences served by your ads. Input: platform (optional — omit for all platforms) and optional campaign_id to scope to a single campaign. Returns {age_distribution, gender_distribution, top_geos, top_interests, device_breakdown, total_impressions, engagement_rate}. Use when refining targeting or reporting audience coverage.

  Paramètres, retour & exemple (2)

  Paramètres

  • platform · string · requis · google | meta
    Platform to analyze
  • campaign_id · string · optionnel
    Specific campaign (optional)

  Exemple d'appel

  {"name": "audience_insights", "arguments": {"platform": "google"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• creative_specs≈ 204 tokens

  Platform-specific creative requirements for ad formats. Returns the exact image dimensions, aspect ratios, video duration and codec, headline/primary-text character limits, supported CTA buttons, and file size ceilings for each ad format. Input: platform ("google_ads"|"meta_ads") and optional format filter (e.g. "responsive_display", "video", "carousel", "single_image"). Use this before building creatives to avoid rejection at upload time.

  Paramètres, retour & exemple (2)

  Paramètres

  • format · string · optionnel · image | video | carousel | stories
  • platform · string · requis · google | meta
    Platform to get specs for

  Exemple d'appel

  {"name": "creative_specs", "arguments": {"platform": "google"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• anomaly_detect≈ 243 tokens

  Scan campaigns for statistical anomalies vs. a rolling baseline. Flags CPC spikes, CTR drops, sudden spend surges, and conversion cliffs. Input: sensitivity ("low"|"medium"|"high" — controls the z-score threshold), lookback_days (baseline window, default 14), optional platform filter. Returns {anomalies_found, severity_breakdown (critical|high|medium|low counts), alerts[] (each with campaign_id, metric, baseline, current, deviation, severity, reason)}. Run daily to catch issues before they burn budget.

  Paramètres, retour & exemple (3)

  Paramètres

  • platform · string · optionnel · google | meta
    Filter by platform
  • sensitivity · string · optionnel · low | medium | high
    Detection sensitivity
  • lookback_days · integer · optionnel

  Exemple d'appel

  {"name": "anomaly_detect", "arguments": {"platform": "google", "sensitivity": "low", "lookback_days": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• ab_test_analyze≈ 341 tokens

  Compare two campaigns as A/B test variants and determine statistical significance. Input: campaign_id_a, campaign_id_b, primary_metric ("ctr"|"conversion_rate"|"roas"|"cpc"|"cpa"). Runs a two-proportion z-test (or means comparison for continuous metrics), computes p-value and 95% confidence interval, identifies the winner, and returns {winner, confidence_level, p_value, lift_percent, sample_size_a, sample_size_b, significant (bool), recommendation}. Use with lift ≥5% and p<0.05 as a decision rule.

  Paramètres, retour & exemple (3)

  Paramètres

  • campaign_id_a · string · requis
    Variant A campaign
  • campaign_id_b · string · requis
    Variant B campaign
  • primary_metric · string · optionnel · ctr | cpa | roas | conversion_rate

  Exemple d'appel

  {"name": "ab_test_analyze", "arguments": {"campaign_id_a": "texte", "campaign_id_b": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• competitor_benchmark≈ 210 tokens

  Compare your ad performance against industry averages for a chosen vertical. Input: industry (e.g. "ecommerce", "saas", "finance", "healthcare", "education", "travel", "real_estate", "legal"), optional platform filter. Returns {industry, your_metrics, benchmarks (CTR, CPC, CPM, conversion_rate, CPA, ROAS industry averages), comparison (percent above/below benchmark per metric), recommendations[]}. Benchmarks are curated static tables — not live market data.

  Paramètres, retour & exemple (2)

  Paramètres

  • industry · string · requis
    Industry for benchmarking (e.g., "ecommerce", "saas", "finance")
  • platform · string · optionnel · google | meta

  Exemple d'appel

  {"name": "competitor_benchmark", "arguments": {"industry": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• forecast_spend≈ 199 tokens

  Project future ad spend and performance based on recent historical trends. Input: period_days ("7"|"14"|"30") and optional platform filter. Uses moving-average extrapolation of spend, impressions, clicks, conversions, and revenue across the last 14 days. Returns {period_days, platform, projected (spend, impressions, clicks, conversions, revenue, ROAS, CPC, CTR), confidence_level, warnings[]}. Confidence drops when recent data is volatile or campaigns were paused.

  Paramètres, retour & exemple (2)

  Paramètres

  • platform · string · optionnel · google | meta
  • period_days · string · optionnel · 7 | 14 | 30
    Forecast period

  Exemple d'appel

  {"name": "forecast_spend", "arguments": {"platform": "google", "period_days": "7"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

adops-mcp-server@1.3.0