adobe-analytics
 · MCP Server

Adobe Analytics MCP — Web Data, AI-Queryable

Connect Adobe Analytics to AI agents via Improvado MCP. Query traffic, segments, and conversion data without building reports or waiting for analysts.

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

Read Adobe Analytics Data via AI

Improvado MCP extracts metrics, dimensions, and segment data from Adobe Analytics and delivers it to your AI agent instantly. Get answers about traffic and conversions without opening Report Builder.

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

Act on Analytics Insights Automatically

Use insights from Adobe Analytics — surfaced by MCP — to push decisions into connected tools. Update audience segments, flag underperforming campaigns, or adjust targeting based on real data.

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

⚠️ Monitor

Monitor Adobe Analytics Metrics Continuously

Set AI agents to watch Adobe Analytics data for traffic anomalies, conversion drops, or segment shifts — and get proactive alerts with context, not just raw numbers.

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

Use insights from Adobe Analytics — surfaced by MCP — to push decisions into connected tools. Update audience segments, flag underperforming campaigns, or adjust targeting based on real data.

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

Challenge 1

Report Builder Bottlenecks Analysis

THE PROBLEM

Adobe Analytics reports require manual configuration in Report Builder or Workspace, creating a backlog whenever stakeholders need quick answers.

HOW MCP SOLVES IT

Improvado MCP exposes Adobe Analytics data to AI agents, so teams get instant answers to ad-hoc questions without queuing analyst requests.

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

Cross-Channel Attribution Is Manual

THE PROBLEM

Combining Adobe Analytics web data with paid media, email, and CRM data requires time-consuming manual joins across platforms.

HOW MCP SOLVES IT

MCP lets AI agents query Adobe Analytics alongside other data sources in a single conversation, enabling instant cross-channel attribution.

Challenge 3

Segment Performance Goes Unmonitored

THE PROBLEM

Key audience segments in Adobe Analytics can shift significantly between reporting cycles, with no one noticing until a review meeting.

HOW MCP SOLVES IT

AI agents powered by MCP continuously monitor segment metrics and surface anomalies as they happen — not weeks later.

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

What is Adobe Analytics MCP?
+

Adobe Analytics MCP is a connection layer built by Improvado that enables AI agents to query metrics, dimensions, and segments from Adobe Analytics using natural language. It removes the need for manual report building by making data directly accessible to AI tools.

What data can AI agents access from Adobe Analytics via MCP?
+

AI agents can access traffic metrics, conversion rates, revenue data, custom dimensions, segments, and eVars configured in your Adobe Analytics suite. The specific scope depends on your report suite configuration and API access level.

Does Adobe Analytics MCP require a data warehouse?
+

No. Improvado MCP queries Adobe Analytics via its Reporting API directly, so you can get analytics data into your AI agent without setting up a separate data warehouse or ETL pipeline.

How is Improvado MCP different from Adobe Analytics API access?
+

Adobe Analytics API requires technical knowledge to query. Improvado MCP adds a natural language layer on top, so non-technical users can ask plain-English questions and get structured answers without writing API calls.

Can Adobe Analytics MCP handle custom metrics and calculated metrics?
+

Improvado MCP accesses data via Adobe Analytics' standard API endpoints, which include standard and calculated metrics. Availability of specific custom metrics depends on how they are exposed in your report suite API.

How does Adobe Analytics MCP integrate with the broader Improvado platform?
+

Adobe Analytics is one connector among many in Improvado MCP. Teams can combine Adobe Analytics data with paid media, CRM, email, and commerce platforms — giving AI agents a complete cross-channel view for holistic analysis and action.

What is Adobe Analytics MCP?
Adobe Analytics MCP is a connection layer built by Improvado that enables AI agents to query metrics, dimensions, and segments from Adobe Analytics using natural language. It removes the need for manual report building by making data directly accessible to AI tools.
What data can AI agents access from Adobe Analytics via MCP?
AI agents can access traffic metrics, conversion rates, revenue data, custom dimensions, segments, and eVars configured in your Adobe Analytics suite. The specific scope depends on your report suite configuration and API access level.
Does Adobe Analytics MCP require a data warehouse?
No. Improvado MCP queries Adobe Analytics via its Reporting API directly, so you can get analytics data into your AI agent without setting up a separate data warehouse or ETL pipeline.
How is Improvado MCP different from Adobe Analytics API access?
Adobe Analytics API requires technical knowledge to query. Improvado MCP adds a natural language layer on top, so non-technical users can ask plain-English questions and get structured answers without writing API calls.
Can Adobe Analytics MCP handle custom metrics and calculated metrics?
Improvado MCP accesses data via Adobe Analytics' standard API endpoints, which include standard and calculated metrics. Availability of specific custom metrics depends on how they are exposed in your report suite API.
How does Adobe Analytics MCP integrate with the broader Improvado platform?
Adobe Analytics is one connector among many in Improvado MCP. Teams can combine Adobe Analytics data with paid media, CRM, email, and commerce platforms — giving AI agents a complete cross-channel view for holistic analysis and action.

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