Facebook Ads
 · MCP Server

Facebook Ads MCP — Meta Campaign Insights Without the Clicks

Improvado's MCP server gives your AI agent direct access to Facebook and Instagram Ads data. Query ROAS, CPM, audience performance, and creative metrics across all ad accounts in natural language. Works with Claude, Cursor, and any MCP-compatible tool.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Pull Meta Ads Performance Without Opening Ads Manager

Stop clicking through Ads Manager to answer basic performance questions. Ask your AI agent for ROAS by campaign, CPM trends by audience, creative performance, or cross-account spend summaries — and get answers instantly.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Launch and Adjust Campaigns Through Your AI Agent

Create campaigns, adjust budgets, pause underperformers, and update audience targeting — all through natural language. The MCP server translates your instructions into Meta Marketing API operations.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Catch Budget Waste and Performance Drops Early

Set AI-powered watches on CPM spikes, ROAS drops, and frequency fatigue. Get notified before budget waste accumulates or audience saturation sets in.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Create campaigns, adjust budgets, pause underperformers, and update audience targeting — all through natural language. The MCP server translates your instructions into Meta Marketing API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

Multi-Account Reporting Requires Hours of Tab-Switching

THE PROBLEM

You manage paid social across 8 ad accounts — different brands, different regions, different agencies. Getting a consolidated ROAS picture means opening each account in Ads Manager, exporting CSVs, and merging them. Weekly reporting takes 3 hours before you can even start the analysis.

HOW MCP SOLVES IT

Improvado connects all Meta ad accounts to a single MCP integration. Ask your AI agent for cross-account performance summaries, segmented by campaign type, region, or brand — in one query, not eight browser tabs.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Creative Fatigue Is Hard to Spot Before It Hurts Performance

THE PROBLEM

Ad creative gets stale. Frequency climbs, CTR falls, CPM rises. By the time the ROAS drop shows up in your weekly report, the creative has been running 3 weeks past its prime. Manually tracking frequency and engagement trends across dozens of ad sets isn't feasible.

HOW MCP SOLVES IT

Your AI agent monitors frequency and CTR together across all active ad sets. It identifies creative combinations showing the classic fatigue pattern — rising frequency, falling CTR — before ROAS degradation becomes obvious.

Challenge 3

Attribution Windows Make Performance Look Different Everywhere

THE PROBLEM

Meta defaults to a 7-day click, 1-day view attribution window. Your finance team uses last-touch. Your analytics team uses a 28-day window. Everyone is looking at different numbers and calling it 'Facebook ROAS.' Reconciling attribution models requires custom exports and manual recalculation.

HOW MCP SOLVES IT

Improvado normalizes Meta Ads data into a consistent attribution model alongside your other paid channels. Ask your AI agent for cross-channel ROAS using a single attribution window, and stop the attribution argument once and for all.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked Questions

Does this cover both Facebook and Instagram Ads?
+

Yes. The MCP server connects to the Meta Marketing API, which covers Facebook and Instagram placements, campaigns, ad sets, ads, and audiences. You can filter by placement, compare performance across Facebook vs. Instagram, and access creative-level metrics for both.

Can I manage multiple Meta Business Manager accounts through one MCP connection?
+

Yes. Connect as many ad accounts as you have access to — across one or multiple Business Managers. Once connected, you can query across all accounts simultaneously or isolate specific accounts within a conversation.

Can the AI write back to Meta Ads, or is it read-only?
+

Both are supported. Read operations cover performance metrics, audience data, creative details, and account structure. Write operations include adjusting budgets, pausing or activating campaigns and ad sets, creating campaigns, and duplicating existing structures. Permissions are controlled by your Meta API token scope.

How does Improvado handle Meta's frequent API changes?
+

Meta updates their Marketing API regularly. Improvado maintains the API connector on your behalf — field deprecations, version upgrades, and schema changes are handled server-side. When Meta introduces a new API version or removes a field, Improvado updates the integration so your queries keep working without you doing anything.

How fresh is the Facebook Ads data available through Improvado MCP?
+

Data freshness depends on your Improvado sync schedule, which can be configured from hourly to daily depending on your plan. Facebook Ads data itself has a platform-side delay of up to 72 hours for fully attributed conversion metrics, so same-day numbers may adjust retroactively. Improvado surfaces the latest available data at query time and notes the last sync timestamp so AI agents can reason about recency accurately.

Can Improvado MCP access Facebook Ads data across multiple ad accounts and business portfolios?
+

Yes. Improvado MCP supports multi-account and multi-portfolio setups, aggregating data across all connected Facebook Ads accounts into a single queryable layer. This is particularly valuable for agencies or enterprise teams managing dozens of accounts, since AI agents can compare performance, budget pacing, and audience overlap across accounts without switching between them manually.

Does this cover both Facebook and Instagram Ads?
Yes. The MCP server connects to the Meta Marketing API, which covers Facebook and Instagram placements, campaigns, ad sets, ads, and audiences. You can filter by placement, compare performance across Facebook vs. Instagram, and access creative-level metrics for both.
Can I manage multiple Meta Business Manager accounts through one MCP connection?
Yes. Connect as many ad accounts as you have access to — across one or multiple Business Managers. Once connected, you can query across all accounts simultaneously or isolate specific accounts within a conversation.
Can the AI write back to Meta Ads, or is it read-only?
Both are supported. Read operations cover performance metrics, audience data, creative details, and account structure. Write operations include adjusting budgets, pausing or activating campaigns and ad sets, creating campaigns, and duplicating existing structures. Permissions are controlled by your Meta API token scope.
How does Improvado handle Meta's frequent API changes?
Meta updates their Marketing API regularly. Improvado maintains the API connector on your behalf — field deprecations, version upgrades, and schema changes are handled server-side. When Meta introduces a new API version or removes a field, Improvado updates the integration so your queries keep working without you doing anything.
How fresh is the Facebook Ads data available through Improvado MCP?
Data freshness depends on your Improvado sync schedule, which can be configured from hourly to daily depending on your plan. Facebook Ads data itself has a platform-side delay of up to 72 hours for fully attributed conversion metrics, so same-day numbers may adjust retroactively. Improvado surfaces the latest available data at query time and notes the last sync timestamp so AI agents can reason about recency accurately.
Can Improvado MCP access Facebook Ads data across multiple ad accounts and business portfolios?
Yes. Improvado MCP supports multi-account and multi-portfolio setups, aggregating data across all connected Facebook Ads accounts into a single queryable layer. This is particularly valuable for agencies or enterprise teams managing dozens of accounts, since AI agents can compare performance, budget pacing, and audience overlap across accounts without switching between them manually.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics