zuora
 · MCP Server

Zuora MCP — Subscription Revenue Data, Instantly Queryable

Improvado gives your AI agent direct access to Zuora data through an MCP server. Query MRR, ARR, churn, invoices, and subscription changes — all in natural language. Works with Claude, ChatGPT, Cursor, Gemini, and any MCP-compatible tool.

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

Read: Pull Any Subscription Metric Instantly

Skip the Zuora Analytics dashboards. Ask your AI agent for MRR movement, churned accounts, expansion revenue, or invoice aging — across any product, plan, or cohort. The MCP server handles Zuora REST 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 Subscriptions Without Leaving the Chat

Your AI agent doesn't just read Zuora — it acts on it. Apply discounts, update renewal dates, trigger invoice generation, and modify subscription terms through natural language commands.

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

⚠️ Monitor

Monitor: Churn and Revenue Alerts Before They Compound

Set up watches on subscription health, payment failures, and MRR movements. Your AI agent monitors Zuora continuously and flags risk accounts before churn becomes a trend.

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 Zuora — it acts on it. Apply discounts, update renewal dates, trigger invoice generation, and modify subscription terms through natural language commands.

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

Challenge 1

MRR Movements Are Hard to Trace

THE PROBLEM

SaaS finance teams need to explain every dollar of MRR change — new, expansion, contraction, churn. Zuora stores this data across subscription versions, amendments, and order objects that require complex joins to reconstruct.

HOW MCP SOLVES IT

Improvado pre-joins Zuora subscription history into a clean MRR waterfall model. The MCP server lets AI agents explain every MRR movement in plain English without writing ZOQL.

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

Cohort Analysis Requires Custom SQL Every Time

THE PROBLEM

Retention cohorts, payback period, and LTV calculations require combining Zuora subscription data with account metadata and payment history. Every analysis requires custom ZOQL that takes hours and often breaks on edge cases.

HOW MCP SOLVES IT

Improvado normalizes Zuora data into a queryable analytics model. The MCP server makes cohort analysis, LTV, and retention calculations available as plain-language queries.

Challenge 3

Multi-Currency ARR Is Never Accurate in Real Time

THE PROBLEM

Organizations with global subscriptions in multiple currencies struggle to report ARR accurately. Exchange rate fluctuations, Zuora's native FX handling, and manual conversions lead to inconsistent numbers across finance and RevOps.

HOW MCP SOLVES IT

Improvado handles multi-currency normalization for Zuora data with configurable exchange rate logic. The MCP server delivers ARR and MRR in any reporting currency, always consistent.

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 Zuora have an MCP server?
+

Zuora does not publish an official MCP server. Improvado provides a hosted MCP server that connects to Zuora via its REST API, supporting natural language queries across subscriptions, billing, revenue, and account data.

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

You can query subscriptions, invoices, payments, accounts, products, rate plans, revenue schedules, and subscription amendments. Improvado maps the full Zuora object model including custom fields.

Can I get MRR and ARR metrics directly from the MCP server?
+

Yes. Improvado pre-calculates MRR waterfall components (new, expansion, contraction, churn) from Zuora subscription history. You can query these metrics by product, plan, region, or cohort in plain language.

How does Improvado connect to Zuora?
+

Improvado connects via Zuora's REST and ZOQL APIs using OAuth 2.0. Setup takes under 15 minutes. No local installation or developer required.

Does this work with Zuora Revenue (formerly RevPro)?
+

Yes. Improvado supports both Zuora Billing and Zuora Revenue. You can query recognized revenue, deferred revenue, and revenue schedules from Zuora Revenue through the same MCP server.

Can I combine Zuora data with CRM or marketing data in the same query?
+

Yes. Improvado's MCP server covers 500+ platforms. You can ask a single question that spans Zuora subscription data, Salesforce opportunity data, and marketing attribution data in one response.

Does Zuora have an MCP server?
Zuora does not publish an official MCP server. Improvado provides a hosted MCP server that connects to Zuora via its REST API, supporting natural language queries across subscriptions, billing, revenue, and account data.
What Zuora data can I query through the MCP server?
You can query subscriptions, invoices, payments, accounts, products, rate plans, revenue schedules, and subscription amendments. Improvado maps the full Zuora object model including custom fields.
Can I get MRR and ARR metrics directly from the MCP server?
Yes. Improvado pre-calculates MRR waterfall components (new, expansion, contraction, churn) from Zuora subscription history. You can query these metrics by product, plan, region, or cohort in plain language.
How does Improvado connect to Zuora?
Improvado connects via Zuora's REST and ZOQL APIs using OAuth 2.0. Setup takes under 15 minutes. No local installation or developer required.
Does this work with Zuora Revenue (formerly RevPro)?
Yes. Improvado supports both Zuora Billing and Zuora Revenue. You can query recognized revenue, deferred revenue, and revenue schedules from Zuora Revenue through the same MCP server.
Can I combine Zuora data with CRM or marketing data in the same query?
Yes. Improvado's MCP server covers 500+ platforms. You can ask a single question that spans Zuora subscription data, Salesforce opportunity data, and marketing attribution data in one response.

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