iterable
 · MCP Server

Iterable MCP — Your Cross-Channel Data, One Question Away

Improvado gives your AI agent direct access to Iterable campaign and user data through an MCP server. Query email, push, SMS, and in-app performance alongside user journey progression in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

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

Read: Pull Any Iterable Campaign Metric Instantly

Skip the Iterable dashboard. Ask your AI agent for campaign performance, user journey conversion rates, channel engagement, or segment health across every workflow and date range. The MCP server handles Iterable API calls.

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: Update Campaigns and User Data Without Leaving Chat

Your AI agent doesn't just read Iterable data — it acts on it. Update user attributes, pause underperforming workflows, trigger targeted sends, and manage segments through natural language.

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

⚠️ Monitor

Monitor: Catch Lifecycle Campaign Issues Early

Set up watches on journey health, engagement rates, and segment sizes. Your AI agent monitors Iterable campaigns continuously and flags drops before they affect activation or retention metrics.

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

Your AI agent doesn't just read Iterable data — it acts on it. Update user attributes, pause underperforming workflows, trigger targeted sends, and manage segments through natural language.

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

Challenge 1

Multi-Channel Attribution Across Email, Push, and SMS

THE PROBLEM

Teams running campaigns across email, push, SMS, and in-app channels can't easily attribute conversions to specific touchpoints. Iterable's native reporting shows channel-level performance but doesn't surface which combination of channels drives the best results.

HOW MCP SOLVES IT

Improvado normalizes Iterable cross-channel event data into a unified attribution model. AI agents can query which channel sequences drive the highest conversion rates — no custom attribution modeling required.

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

Journey Drop-Off Analysis Requires Manual Funnel Building

THE PROBLEM

Understanding where users exit multi-step lifecycle journeys requires building custom funnel reports in Iterable that take hours to configure and only answer one specific question at a time.

HOW MCP SOLVES IT

Improvado models Iterable journey event data with step-by-step granularity. AI agents can query drop-off rates at each step, compare journeys across segments, and surface the specific messages where engagement drops.

Challenge 3

User Segment Overlap Creates Duplicate Sends

THE PROBLEM

As segment libraries grow, users qualify for multiple campaigns simultaneously. Without visibility into segment overlap, teams accidentally suppress or duplicate sends, which skews performance data and annoys users.

HOW MCP SOLVES IT

Improvado surfaces Iterable segment membership data so AI agents can identify overlapping audiences, flag potential duplicate sends, and recommend exclusion lists before campaigns launch.

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 Iterable have an MCP server?
+

Iterable doesn't offer a native MCP server. Improvado provides a hosted MCP server that connects Iterable campaign and user data to Claude, Cursor, ChatGPT, and any MCP-compatible AI tool. Authentication, rate limiting, and data normalization are handled automatically.

What Iterable data can I query through the MCP server?
+

Campaign performance across all channels (email, push, SMS, in-app), user journey step completion and drop-off data, segment membership and size, user-level event history, workflow configuration and status, and send frequency metrics. Improvado normalizes Iterable's data model across all campaign types.

Which AI tools work with Iterable through this MCP server?
+

Any tool supporting the Model Context Protocol — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is most commonly used due to its native MCP support.

Can I combine Iterable data with other marketing platforms through the same MCP?
+

Yes. Improvado connects 500+ data sources through the same MCP server. Teams can combine Iterable lifecycle campaign data with paid acquisition data from Google Ads, Meta, or LinkedIn — enabling full-funnel attribution from first touch to retention.

How does the MCP server handle Iterable's API rate limits?
+

Improvado manages Iterable API rate limits and pagination server-side. For large user databases and high-volume sends, Improvado pre-aggregates campaign metrics so AI agents get instant answers without triggering API throttling.

Is user data secure through the MCP server?
+

Yes. Improvado is SOC 2 Type II certified. Iterable API keys are stored in an encrypted vault. User PII in Iterable is handled according to GDPR and CCPA requirements with configurable data masking. All queries run through Improvado's secure proxy.

Does Iterable have an MCP server?
Iterable doesn't offer a native MCP server. Improvado provides a hosted MCP server that connects Iterable campaign and user data to Claude, Cursor, ChatGPT, and any MCP-compatible AI tool. Authentication, rate limiting, and data normalization are handled automatically.
What Iterable data can I query through the MCP server?
Campaign performance across all channels (email, push, SMS, in-app), user journey step completion and drop-off data, segment membership and size, user-level event history, workflow configuration and status, and send frequency metrics. Improvado normalizes Iterable's data model across all campaign types.
Which AI tools work with Iterable through this MCP server?
Any tool supporting the Model Context Protocol — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is most commonly used due to its native MCP support.
Can I combine Iterable data with other marketing platforms through the same MCP?
Yes. Improvado connects 500+ data sources through the same MCP server. Teams can combine Iterable lifecycle campaign data with paid acquisition data from Google Ads, Meta, or LinkedIn — enabling full-funnel attribution from first touch to retention.
How does the MCP server handle Iterable's API rate limits?
Improvado manages Iterable API rate limits and pagination server-side. For large user databases and high-volume sends, Improvado pre-aggregates campaign metrics so AI agents get instant answers without triggering API throttling.
Is user data secure through the MCP server?
Yes. Improvado is SOC 2 Type II certified. Iterable API keys are stored in an encrypted vault. User PII in Iterable is handled according to GDPR and CCPA requirements with configurable data masking. All queries run through Improvado's secure proxy.

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