iterable · MCP Server

From Iterable to AI Agent — Improvado MCP

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.

Example prompts

"What's the open-to-conversion rate for each stage of the onboarding journey? Break it down by channel."

45 min → 1 min

"Compare email vs push notification performance for re-engagement campaigns over the last 60 days."

30 min → 30 sec

"Which user segments have the highest lifecycle email click rates? Show me the top 10 with conversion volume."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

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.

Example prompts

"Pause the win-back workflow for users who have already converted in the last 7 days."

30 min → 2 min

"Add all users who clicked the pricing page email to the 'high-intent' segment and trigger the sales alert workflow."

1 hr → 5 min

"Update the send time for the weekly digest campaign to 10am in each user's local timezone."

45 min → 10 min

Every action logged · Fully reversible · SOC 2 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.

Example prompts

"Alert me if the onboarding email sequence open rate drops below 20% for two consecutive days."

Manual → auto

"Every Monday: send a summary of workflow performance, top-converting segments, and channel engagement rates."

2 hrs → auto

"Flag any campaign that sent to a segment that's grown by more than 200% since the last send."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

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

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

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

Which channel sequence — email then push vs push then SMS — drives higher 7-day conversion rates for new users?

Answer in seconds

All data sources, one query

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.

Try asking

At which step in the premium upgrade journey do most users drop off? How does it differ between mobile and web users?

Full detail preserved

No data loss on export

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

How many users are in both the 're-engagement' and 'active users' segments right now?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

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.

FAQ

Common 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 — all through Improvado's hosted MCP server.

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

Yes. Improvado connects 1,000+ 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